Remove graphics/pfstmo: pfstmo is a part of pfstools
I couldn't find an announcement, but all executables from graphics/pfstmo are now in pfstools-2.1.0. graphics/pfstools has been updated to 2.1.0 in r465069
This commit is contained in:
parent
e5b537c9f6
commit
2ef6fab0f8
Notes:
svn2git
2021-03-31 03:12:20 +00:00
svn path=/head/; revision=465153
1
MOVED
1
MOVED
@ -10220,3 +10220,4 @@ benchmarks/expedite||2018-03-20|Has expired: Broken for more than 6 months
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textproc/p5-HTML-CTPP2||2018-03-20|Has expired: Broken for more than 6 months
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textproc/rubygem-compass-rails||2018-03-20|Has expired: Broken for more than 6 months
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graphics/pfscalibration||2018-03-20|Deprecated: pfs-calibration is a part of pfstools (from version 2.0)
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graphics/pfstmo||2018-03-20|Deprecated: pfstmo is a part of pfstools
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@ -780,7 +780,6 @@
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SUBDIR += pencil
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SUBDIR += peps
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SUBDIR += perceptualdiff
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SUBDIR += pfstmo
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SUBDIR += pfstools
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SUBDIR += pgplot
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SUBDIR += pho
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@ -1,33 +0,0 @@
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# Created by: Iouri V. Ivliev
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# $FreeBSD$
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PORTNAME= pfstmo
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PORTVERSION= 1.5
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PORTREVISION= 9
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CATEGORIES= graphics
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MASTER_SITES= SF/pfstools/${PORTNAME}_depreciated/${PORTVERSION}
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MAINTAINER= ii@any.com.ru
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COMMENT= Tone mapping operators
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USE_GCC= any
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LIB_DEPENDS= libpfs-1.2.so:graphics/pfstools \
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libfftw3.so:math/fftw3 \
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libfftw3f.so:math/fftw3-float \
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libgsl.so:math/gsl
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PFS_CPPFLAGS= -I${LOCALBASE}/include
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PFS_LDFLAGS= -L${LOCALBASE}/lib
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GNU_CONFIGURE= yes
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CONFIGURE_TARGET= --build=${MACHINE_ARCH}-portbld-freebsd${OSREL}
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CONFIGURE_ENV+= CPPFLAGS="${PFS_CPPFLAGS} ${DEBUG_FLAGS}" \
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LDFLAGS="${PFS_LDFLAGS}"
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USES= gmake pkgconfig compiler:openmp
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# GCC 6 defaults to -std=gnu++14, and the port does not build with C++11 or
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# later (bug 219299).
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USE_CXXSTD= gnu++03
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.include <bsd.port.mk>
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@ -1,2 +0,0 @@
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SHA256 (pfstmo-1.5.tar.gz) = 614599faecddb925cf51458f0d111f42bb624d91a9181181b63c81cbb9cc8ac9
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SIZE (pfstmo-1.5.tar.gz) = 461375
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@ -1,11 +0,0 @@
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--- configure.orig 2012-06-25 13:03:44.000000000 +0000
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+++ configure 2014-06-18 15:31:54.008958029 +0000
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@@ -14272,7 +14272,7 @@
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-#CXXFLAGS="-O3 -funroll-loops -fstrength-reduce -fschedule-insns2 -felide-constructors -frerun-loop-opt -fexceptions -fno-strict-aliasing -fexpensive-optimizations -ffast-math -pipe"
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+#CXXFLAGS="-O3 -funroll-loops -fstrength-reduce -felide-constructors -fexceptions -fno-strict-aliasing -fexpensive-optimizations -ffast-math -pipe"
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enable_fftw3f="yes"
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@ -1,27 +0,0 @@
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--- src/durand02/fastbilateral.cpp.orig 2008-09-09 18:10:49.000000000 +0000
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+++ src/durand02/fastbilateral.cpp 2014-06-18 15:29:52.288954426 +0000
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@@ -66,11 +66,11 @@
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{
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int ox = nx;
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int oy = ny/2 + 1; // saves half of the data
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- const int osize = ox * oy;
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- source = (float*)fftwf_malloc(sizeof(float) * nx * 2 * (ny/2+1) );
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+ const size_t osize = ox * oy;
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+ source = (float*)fftwf_malloc(sizeof(float) * (size_t)nx * 2 * ((size_t)ny/2+1) );
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freq = (fftwf_complex*) fftwf_malloc(sizeof(fftwf_complex) * osize);
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-// if( source == NULL || freq == NULL )
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- //TODO: throw exception
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+ if( source == NULL || freq == NULL )
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+ throw std::bad_alloc();
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fplan_fw = fftwf_plan_dft_r2c_2d(nx, ny, source, freq, FFTW_ESTIMATE);
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fplan_in = fftwf_plan_dft_c2r_2d(nx, ny, freq, source, FFTW_ESTIMATE);
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}
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@@ -100,7 +100,7 @@
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for( x=0 ; x<ox/2 ; x++ )
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for( y=0 ; y<oy ; y++ )
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{
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- float d2 = x*x + y*y;
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+ float d2 = (float)x*x + (float)y*y;
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float kernel = exp( -d2 / sig2 );
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freq[x*oy+y][0] *= kernel;
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@ -1,185 +0,0 @@
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--- src/fattal02/pde.cpp.orig 2012-06-21 13:27:13.000000000 +0000
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+++ src/fattal02/pde.cpp 2014-06-18 15:29:52.288954426 +0000
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@@ -70,15 +70,15 @@
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// precision
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#define EPS 1.0e-12
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-void linbcg(unsigned long n, float b[], float x[], int itol, float tol,
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+static void linbcg(unsigned long n, float b[], float x[], int itol, float tol,
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int itmax, int *iter, float *err);
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-inline float max( float a, float b )
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+static inline float max( float a, float b )
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{
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return a > b ? a : b;
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}
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-inline float min( float a, float b )
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+static inline float min( float a, float b )
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{
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return a < b ? a : b;
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}
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@@ -109,7 +109,7 @@
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// Full Multigrid Algorithm for solving partial differential equations
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//////////////////////////////////////////////////////////////////////
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-void restrict( const pfstmo::Array2D *in, pfstmo::Array2D *out )
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+static void restrict( const pfstmo::Array2D *in, pfstmo::Array2D *out )
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{
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const float inRows = in->getRows();
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const float inCols = in->getCols();
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@@ -172,7 +172,7 @@
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// }
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-void prolongate( const pfstmo::Array2D *in, pfstmo::Array2D *out )
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+static void prolongate( const pfstmo::Array2D *in, pfstmo::Array2D *out )
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{
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float dx = (float)in->getCols() / (float)out->getCols();
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float dy = (float)in->getRows() / (float)out->getRows();
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@@ -216,7 +216,7 @@
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}
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// to_level<from_level, from_size<to_size
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-void prolongate_old( pfstmo::Array2D *F, pfstmo::Array2D *T )
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+static void prolongate_old( pfstmo::Array2D *F, pfstmo::Array2D *T )
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{
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// DEBUG_STR << "prolongate" << endl;
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@@ -277,7 +277,7 @@
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}
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}
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-void exact_sollution( pfstmo::Array2D *F, pfstmo::Array2D *U )
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+static void exact_sollution( pfstmo::Array2D *F, pfstmo::Array2D *U )
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{
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// DEBUG_STR << "exact sollution" << endl;
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@@ -314,13 +314,13 @@
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static int rows, cols;
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-inline int idx( int r, int c )
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+static inline int idx( int r, int c )
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{
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return r*cols+c+1;
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}
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// smooth u using f at level
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-void smooth( pfstmo::Array2D *U, pfstmo::Array2D *F )
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+static void smooth( pfstmo::Array2D *U, pfstmo::Array2D *F )
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{
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// DEBUG_STR << "smooth" << endl;
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@@ -369,7 +369,7 @@
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// }
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}
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-void calculate_defect( pfstmo::Array2D *D, pfstmo::Array2D *U, pfstmo::Array2D *F )
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+static void calculate_defect( pfstmo::Array2D *D, pfstmo::Array2D *U, pfstmo::Array2D *F )
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{
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// DEBUG_STR << "calculate defect" << endl;
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@@ -395,7 +395,7 @@
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}
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-void add_correction( pfstmo::Array2D *U, pfstmo::Array2D *C )
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+static void add_correction( pfstmo::Array2D *U, pfstmo::Array2D *C )
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{
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// DEBUG_STR << "add_correction" << endl;
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@@ -646,7 +646,7 @@
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//#define EPS 1.0e-14
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-void asolve(unsigned long n, float b[], float x[], int itrnsp)
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+static void asolve(float b[], float x[])
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{
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for( int r = 0; r < rows; r++ )
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for( int c = 0; c < cols; c++ ) {
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@@ -654,7 +654,7 @@
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}
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}
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-void atimes(unsigned long n, float x[], float res[], int itrnsp)
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+static void atimes(float x[], float res[])
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{
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for( int r = 1; r < rows-1; r++ )
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for( int c = 1; c < cols-1; c++ ) {
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@@ -682,7 +682,7 @@
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- 2*x[idx(rows-1,cols-1)];
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}
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-float snrm(unsigned long n, float sx[], int itol)
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+static float snrm(unsigned long n, float sx[], int itol)
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{
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unsigned long i,isamax;
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float ans;
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@@ -704,7 +704,7 @@
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* Biconjugate Gradient Method
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* from Numerical Recipes in C
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*/
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-void linbcg(unsigned long n, float b[], float x[], int itol, float tol, int itmax, int *iter, float *err)
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+static void linbcg(unsigned long n, float b[], float x[], int itol, float tol, int itmax, int *iter, float *err)
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{
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unsigned long j;
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float ak,akden,bk,bkden,bknum,bnrm,dxnrm,xnrm,zm1nrm,znrm;
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@@ -718,30 +718,30 @@
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zz=new float[n+1];
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*iter=0;
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- atimes(n,x,r,0);
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+ atimes(x,r);
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for (j=1;j<=n;j++) {
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r[j]=b[j]-r[j];
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rr[j]=r[j];
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}
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- atimes(n,r,rr,0); // minimum residual
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+ atimes(r,rr); // minimum residual
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znrm=1.0;
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if (itol == 1) bnrm=snrm(n,b,itol);
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else if (itol == 2) {
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- asolve(n,b,z,0);
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+ asolve(b,z);
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bnrm=snrm(n,z,itol);
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}
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else if (itol == 3 || itol == 4) {
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- asolve(n,b,z,0);
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+ asolve(b,z);
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bnrm=snrm(n,z,itol);
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- asolve(n,r,z,0);
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+ asolve(r,z);
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znrm=snrm(n,z,itol);
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} else printf("illegal itol in linbcg");
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- asolve(n,r,z,0);
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+ asolve(r,z);
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while (*iter <= itmax) {
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++(*iter);
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zm1nrm=znrm;
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- asolve(n,rr,zz,1);
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+ asolve(rr,zz);
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for (bknum=0.0,j=1;j<=n;j++) bknum += z[j]*rr[j];
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if (*iter == 1) {
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for (j=1;j<=n;j++) {
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@@ -757,16 +757,16 @@
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}
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}
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bkden=bknum;
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- atimes(n,p,z,0);
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+ atimes(p,z);
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for (akden=0.0,j=1;j<=n;j++) akden += z[j]*pp[j];
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ak=bknum/akden;
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- atimes(n,pp,zz,1);
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+ atimes(pp,zz);
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for (j=1;j<=n;j++) {
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x[j] += ak*p[j];
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r[j] -= ak*z[j];
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rr[j] -= ak*zz[j];
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}
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- asolve(n,r,z,0);
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+ asolve(r,z);
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if (itol == 1 || itol == 2) {
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znrm=1.0;
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*err=snrm(n,r,itol)/bnrm;
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@ -1,10 +0,0 @@
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--- src/fattal02/tmo_fattal02.cpp.orig 2012-06-22 10:59:15.000000000 +0000
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+++ src/fattal02/tmo_fattal02.cpp 2014-06-18 15:29:52.298957047 +0000
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@@ -105,7 +105,6 @@
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{
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int width = I->getCols();
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int height = I->getRows();
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- int size = width*height;
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int x,y;
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pfstmo::Array2D* T = new pfstmo::Array2D(width,height);
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@ -1,263 +0,0 @@
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--- src/mantiuk06/contrast_domain.cpp.orig 2012-04-22 13:14:14.000000000 +0000
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+++ src/mantiuk06/contrast_domain.cpp 2014-06-18 15:29:52.298957047 +0000
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@@ -74,8 +74,6 @@
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static void matrix_copy(const int n, const float* const a, float* const b);
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static void matrix_multiply_const(const int n, float* const a, const float val);
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static void matrix_divide(const int n, const float* const a, float* const b);
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-static float* matrix_alloc(const int size);
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-static void matrix_free(float* m);
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static float matrix_DotProduct(const int n, const float* const a, const float* const b);
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static void matrix_zero(const int n, float* const m);
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static void calculate_and_add_divergence(const int rows, const int cols, const float* const Gx, const float* const Gy, float* const divG);
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@@ -317,24 +315,6 @@
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}
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-// alloc memory for the float table
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-static inline float* matrix_alloc(int size){
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-
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- float* m = (float*)malloc(sizeof(float)*size);
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- if(m == NULL){
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- fprintf(stderr, "ERROR: malloc in matrix_alloc() (size:%d)", size);
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- exit(155);
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- }
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-
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- return m;
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-}
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-
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-// free memory for matrix
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-static inline void matrix_free(float* m){
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- if(m != NULL)
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- free(m);
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-}
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-
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// multiply vector by vector (each vector should have one dimension equal to 1)
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static inline float matrix_DotProduct(const int n, const float* const a, const float* const b){
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float val = 0;
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@@ -382,7 +362,7 @@
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// temp is a temporary matrix of size (cols, rows), assumed to already be allocated
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static void pyramid_calculate_divergence_sum(pyramid_t* pyramid, float* divG_sum)
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{
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- float* temp = matrix_alloc(pyramid->rows*pyramid->cols);
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+ float* temp = new float[pyramid->rows*pyramid->cols];
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// Find the coarsest pyramid, and the number of pyramid levels
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int levels = 1;
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@@ -426,7 +406,7 @@
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pyramid = pyramid->prev;
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}
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- matrix_free(temp);
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+ delete[] temp;
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}
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// calculate scale factors (Cx,Cy) for gradients (Gx,Gy)
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@@ -495,20 +475,10 @@
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{
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while (pyramid)
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{
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- if(pyramid->Gx != NULL)
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- {
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- free(pyramid->Gx);
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- pyramid->Gx = NULL;
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- }
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- if(pyramid->Gy != NULL)
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- {
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- free(pyramid->Gy);
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- pyramid->Gy = NULL;
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- }
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+ delete[] pyramid->Gx;
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+ delete[] pyramid->Gy;
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pyramid_t* const next = pyramid->next;
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- pyramid->prev = NULL;
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- pyramid->next = NULL;
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- free(pyramid);
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+ delete pyramid;
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pyramid = next;
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}
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}
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@@ -523,19 +493,14 @@
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while(rows >= PYRAMID_MIN_PIXELS && cols >= PYRAMID_MIN_PIXELS)
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{
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- level = (pyramid_t *) malloc(sizeof(pyramid_t));
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- if(level == NULL)
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- {
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- fprintf(stderr, "ERROR: malloc in pyramid_alloc() (size:%d)", (int)sizeof(pyramid_t));
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- exit(155);
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- }
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+ level = new pyramid_t;
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memset( level, 0, sizeof(pyramid_t) );
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level->rows = rows;
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level->cols = cols;
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const int size = level->rows * level->cols;
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- level->Gx = matrix_alloc(size);
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- level->Gy = matrix_alloc(size);
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+ level->Gx = new float[size];
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+ level->Gy = new float[size];
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level->prev = prev;
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if(prev != NULL)
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@@ -598,7 +563,7 @@
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// lum_temp gets overwritten!
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static void pyramid_calculate_gradient(pyramid_t* pyramid, float* lum_temp)
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{
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- float* temp = matrix_alloc((pyramid->rows/2)*(pyramid->cols/2));
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+ float* temp = new float[(pyramid->rows/2)*(pyramid->cols/2)];
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float* const temp_saved = temp;
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calculate_gradient(pyramid->cols, pyramid->rows, lum_temp, pyramid->Gx, pyramid->Gy);
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@@ -626,7 +591,7 @@
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pyramid = pyramid->next;
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}
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- matrix_free(temp_saved);
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+ delete[] temp_saved;
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}
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@@ -658,13 +623,13 @@
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const int n = rows*cols;
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const float tol2 = tol*tol;
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- float* const z = matrix_alloc(n);
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- float* const zz = matrix_alloc(n);
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- float* const p = matrix_alloc(n);
|
||||
- float* const pp = matrix_alloc(n);
|
||||
- float* const r = matrix_alloc(n);
|
||||
- float* const rr = matrix_alloc(n);
|
||||
- float* const x_save = matrix_alloc(n);
|
||||
+ float* const z = new float[n];
|
||||
+ float* const zz = new float[n];
|
||||
+ float* const p = new float[n];
|
||||
+ float* const pp = new float[n];
|
||||
+ float* const r = new float[n];
|
||||
+ float* const rr = new float[n];
|
||||
+ float* const x_save = new float[n];
|
||||
|
||||
const float bnrm2 = matrix_DotProduct(n, b, b);
|
||||
|
||||
@@ -799,13 +764,13 @@
|
||||
progress_cb(100);
|
||||
|
||||
|
||||
- matrix_free(x_save);
|
||||
- matrix_free(p);
|
||||
- matrix_free(pp);
|
||||
- matrix_free(z);
|
||||
- matrix_free(zz);
|
||||
- matrix_free(r);
|
||||
- matrix_free(rr);
|
||||
+ delete[] x_save;
|
||||
+ delete[] p;
|
||||
+ delete[] pp;
|
||||
+ delete[] z;
|
||||
+ delete[] zz;
|
||||
+ delete[] r;
|
||||
+ delete[] rr;
|
||||
}
|
||||
|
||||
|
||||
@@ -818,10 +783,10 @@
|
||||
const int n = rows*cols;
|
||||
const float tol2 = tol*tol;
|
||||
|
||||
- float* const x_save = matrix_alloc(n);
|
||||
- float* const r = matrix_alloc(n);
|
||||
- float* const p = matrix_alloc(n);
|
||||
- float* const Ap = matrix_alloc(n);
|
||||
+ float* const x_save = new float[n];
|
||||
+ float* const r = new float[n];
|
||||
+ float* const p = new float[n];
|
||||
+ float* const Ap = new float[n];
|
||||
|
||||
// bnrm2 = ||b||
|
||||
const float bnrm2 = matrix_DotProduct(n, b, b);
|
||||
@@ -943,10 +908,10 @@
|
||||
else if (progress_cb != NULL)
|
||||
progress_cb(100);
|
||||
|
||||
- matrix_free(x_save);
|
||||
- matrix_free(p);
|
||||
- matrix_free(Ap);
|
||||
- matrix_free(r);
|
||||
+ delete[] x_save;
|
||||
+ delete[] p;
|
||||
+ delete[] Ap;
|
||||
+ delete[] r;
|
||||
}
|
||||
|
||||
|
||||
@@ -1070,7 +1035,7 @@
|
||||
pyramid_calculate_scale_factor(pp, pC); // calculate (Cx,Cy)
|
||||
pyramid_scale_gradient(pp, pC); // scale small gradients by (Cx,Cy);
|
||||
|
||||
- float* b = matrix_alloc(pp->cols * pp->rows);
|
||||
+ float* b = new float[pp->cols * pp->rows];
|
||||
pyramid_calculate_divergence_sum(pp, b); // calculate the sum of divergences (equal to b)
|
||||
|
||||
// calculate luminances from gradients
|
||||
@@ -1079,7 +1044,7 @@
|
||||
else
|
||||
lincg(pp, pC, b, x, itmax, tol, progress_cb);
|
||||
|
||||
- matrix_free(b);
|
||||
+ delete[] b;
|
||||
pyramid_free(pC);
|
||||
}
|
||||
|
||||
@@ -1121,12 +1086,7 @@
|
||||
}
|
||||
|
||||
// Allocate memory
|
||||
- struct hist_data* hist = (struct hist_data*) malloc(sizeof(struct hist_data) * total_pixels);
|
||||
- if (hist == NULL)
|
||||
- {
|
||||
- fprintf(stderr, "ERROR: malloc in contrast_equalization() (size:%d)", (int)sizeof(struct hist_data) * total_pixels);
|
||||
- exit(155);
|
||||
- }
|
||||
+ struct hist_data* hist = new hist_data[total_pixels];
|
||||
|
||||
// Build histogram info
|
||||
l = pp;
|
||||
@@ -1175,7 +1135,7 @@
|
||||
l = l->next;
|
||||
}
|
||||
|
||||
- free(hist);
|
||||
+ delete[] hist;
|
||||
}
|
||||
|
||||
|
||||
@@ -1211,10 +1171,10 @@
|
||||
}
|
||||
|
||||
pyramid_t* pp = pyramid_allocate(c,r); // create pyramid
|
||||
- float* tY = matrix_alloc(n);
|
||||
+ float* tY = new float[n];
|
||||
matrix_copy(n, Y, tY); // copy Y to tY
|
||||
pyramid_calculate_gradient(pp,tY); // calculate gradients for pyramid, destroys tY
|
||||
- matrix_free(tY);
|
||||
+ delete[] tY;
|
||||
pyramid_transform_to_R(pp); // transform gradients to R
|
||||
|
||||
/* Contrast map */
|
||||
@@ -1228,7 +1188,7 @@
|
||||
pyramid_free(pp);
|
||||
|
||||
/* Renormalize luminance */
|
||||
- float* temp = matrix_alloc(n);
|
||||
+ float* temp = new float[n];
|
||||
|
||||
matrix_copy(n, Y, temp); // copy Y to temp
|
||||
qsort(temp, n, sizeof(float), sort_float); // sort temp in ascending order
|
||||
@@ -1244,7 +1204,7 @@
|
||||
delta = trim - floorf(trim);
|
||||
const float l_max = temp[(int)floorf(trim)] * delta + temp[(int)ceilf(trim)] * (1.0f-delta);
|
||||
|
||||
- matrix_free(temp);
|
||||
+ delete[] temp;
|
||||
|
||||
const float disp_dyn_range = 2.3f;
|
||||
#pragma omp parallel for schedule(static)
|
@ -1,17 +0,0 @@
|
||||
--- src/mantiuk06/pfstmo_mantiuk06.cpp.orig 2009-09-02 01:11:39.000000000 +0000
|
||||
+++ src/mantiuk06/pfstmo_mantiuk06.cpp 2014-06-18 15:29:52.298957047 +0000
|
||||
@@ -219,6 +219,14 @@
|
||||
try {
|
||||
tmo_mantiuk06( argc, argv );
|
||||
}
|
||||
+ catch (std::bad_alloc ex) {
|
||||
+ fprintf(stderr, PROG_NAME " error: out of memory\n");
|
||||
+ return EXIT_FAILURE;
|
||||
+ }
|
||||
+ catch (std::exception ex) {
|
||||
+ fprintf(stderr, PROG_NAME " error: %s\n", ex.what());
|
||||
+ return EXIT_FAILURE;
|
||||
+ }
|
||||
catch( pfs::Exception ex ) {
|
||||
fprintf( stderr, PROG_NAME " error: %s\n", ex.getMessage() );
|
||||
return EXIT_FAILURE;
|
@ -1,20 +0,0 @@
|
||||
--- src/mantiuk08/display_adaptive_tmo.cpp.orig 2012-06-25 13:03:28.000000000 +0000
|
||||
+++ src/mantiuk08/display_adaptive_tmo.cpp 2014-06-18 15:29:52.308951834 +0000
|
||||
@@ -201,7 +201,7 @@
|
||||
|
||||
};
|
||||
|
||||
-#define PFSEOL "\x0a"
|
||||
+/*#define PFSEOL "\x0a"
|
||||
static void dumpPFS( const char *fileName, const int width, const int height, float *data, const char *channelName )
|
||||
{
|
||||
FILE *fh = fopen( fileName, "wb" );
|
||||
@@ -216,7 +216,7 @@
|
||||
}
|
||||
|
||||
fclose( fh );
|
||||
-}
|
||||
+}*/
|
||||
|
||||
|
||||
void compute_gaussian_level( const int width, const int height, const pfstmo::Array2D& in, pfstmo::Array2D& out, int level, pfstmo::Array2D& temp )
|
@ -1,25 +0,0 @@
|
||||
--- src/mantiuk08/pfstmo_mantiuk08.cpp.orig 2012-06-25 13:03:28.000000000 +0000
|
||||
+++ src/mantiuk08/pfstmo_mantiuk08.cpp 2014-06-18 15:29:52.308951834 +0000
|
||||
@@ -31,7 +31,6 @@
|
||||
|
||||
#include <config.h>
|
||||
|
||||
-#include <iostream>
|
||||
#include <stdio.h>
|
||||
#include <stdlib.h>
|
||||
#include <math.h>
|
||||
@@ -356,6 +355,14 @@
|
||||
try {
|
||||
tmo_mantiuk08( argc, argv );
|
||||
}
|
||||
+ catch (std::bad_alloc ex) {
|
||||
+ fprintf(stderr, PROG_NAME " error: out of memory\n");
|
||||
+ return EXIT_FAILURE;
|
||||
+ }
|
||||
+ catch (std::exception ex) {
|
||||
+ fprintf(stderr, PROG_NAME " error: %s\n", ex.what());
|
||||
+ return EXIT_FAILURE;
|
||||
+ }
|
||||
catch( pfs::Exception ex ) {
|
||||
fprintf( stderr, PROG_NAME " error: %s\n", ex.getMessage() );
|
||||
return EXIT_FAILURE;
|
@ -1,223 +0,0 @@
|
||||
--- src/reinhard02/approx.cpp.orig 2007-06-14 16:41:30.000000000 +0000
|
||||
+++ src/reinhard02/approx.cpp 2014-06-18 15:29:52.308951834 +0000
|
||||
@@ -17,36 +17,36 @@
|
||||
#include <stdio.h>
|
||||
#include <math.h>
|
||||
|
||||
+#include <pfstmo.h>
|
||||
+
|
||||
// interpolated version of approximation (always use this one!) (:krawczyk)
|
||||
#define INTERPOLATED
|
||||
|
||||
-extern double **luminance;
|
||||
-int ImageWidth, ImageHeight;
|
||||
+extern pfstmo::Array2D *lum;
|
||||
+extern int width, height;
|
||||
|
||||
-double ***Pyramid;
|
||||
-int PyramidHeight;
|
||||
-int PyramidWidth0;
|
||||
+int PyramidHeight;
|
||||
|
||||
-void build_pyramid( double **luminance, int ImageWidth, int ImageHeight );
|
||||
-double V1( int x, int y, int level );
|
||||
+static float ***Pyramid;
|
||||
+static int PyramidWidth0;
|
||||
|
||||
-int div2( const unsigned int n )
|
||||
+static int div2( const unsigned int n )
|
||||
{
|
||||
const int q = n/2;
|
||||
return(2*q < n ? q + 1 : q);
|
||||
}
|
||||
|
||||
-double pyramid_lookup( int x, int y, int level )
|
||||
+static float pyramid_lookup( int x, int y, int level )
|
||||
/* PRE: */
|
||||
{
|
||||
int n, s;
|
||||
|
||||
/* Level 0 is a special case, the value is just the image */
|
||||
if (level == 0) {
|
||||
- if ( (x < 0) || (y < 0) || (x >= ImageWidth) || (y >= ImageHeight) )
|
||||
+ if ( (x < 0) || (y < 0) || (x >= width) || (y >= height) )
|
||||
return(0.0);
|
||||
else
|
||||
- return(luminance[y][x]);
|
||||
+ return((*lum)(x,y));
|
||||
}
|
||||
|
||||
/* Compute the size of the slice */
|
||||
@@ -58,25 +58,24 @@
|
||||
//y = y >> level;
|
||||
|
||||
if ( (x < 0) || (y < 0) || (x >= s) || (y >= s) )
|
||||
- return(0.0);
|
||||
+ return(0.0f);
|
||||
else
|
||||
return(Pyramid[level][y][x]);
|
||||
}
|
||||
|
||||
-void build_pyramid( double **luminance, int image_width, int image_height )
|
||||
+void build_pyramid()
|
||||
{
|
||||
int k;
|
||||
int x, y;
|
||||
int i, j;
|
||||
- int width, height;
|
||||
int max_dim;
|
||||
- int pyramid_height;
|
||||
- double sum = 0;
|
||||
+ int pyramid_width;
|
||||
+ double sum = 0.f;
|
||||
|
||||
- double a = 0.4;
|
||||
- double b = 0.25;
|
||||
- double c = b - a/2;
|
||||
- double w[5];
|
||||
+ float a = 0.4f;
|
||||
+ float b = 0.25f;
|
||||
+ float c = b - a/2.f;
|
||||
+ float w[5];
|
||||
|
||||
/* Compute the "filter kernel" */
|
||||
w[0] = c;
|
||||
@@ -90,50 +89,35 @@
|
||||
/* For simplicity, the first level is padded to a square whose side is a */
|
||||
/* power of two. */
|
||||
|
||||
- ImageWidth = image_width;
|
||||
- ImageHeight = image_height;
|
||||
-
|
||||
/* Compute the size of the Pyramid array */
|
||||
- max_dim = (ImageHeight > ImageWidth ? ImageHeight : ImageWidth);
|
||||
- PyramidHeight = (int) floor(log(max_dim - 0.5)/log(2)) + 1;
|
||||
+ max_dim = (height > width ? height : width);
|
||||
+ PyramidHeight = (int)floorf(logf(max_dim - 0.5f)/logf(2)) + 1;
|
||||
|
||||
/* Compute the dimensions of the first level */
|
||||
- width = 1 << (PyramidHeight - 1);
|
||||
- PyramidWidth0 = width;
|
||||
+ pyramid_width = 1 << (PyramidHeight - 1);
|
||||
+ PyramidWidth0 = pyramid_width;
|
||||
|
||||
// fprintf(stderr, "max_dim %d height %d\n", max_dim, PyramidHeight);
|
||||
|
||||
/* Allocate the outer Pyramid array */
|
||||
- Pyramid = (double***) calloc(PyramidHeight, sizeof(double**));
|
||||
- if (!Pyramid) {
|
||||
- fprintf(stderr, "Unable to allocate pyramid array.\n");
|
||||
- exit(1);
|
||||
- }
|
||||
+ Pyramid = new float**[PyramidHeight];
|
||||
|
||||
/* Allocate and assign the Pyramid slices */
|
||||
k = 0;
|
||||
|
||||
- while (width) {
|
||||
+ while (pyramid_width) {
|
||||
|
||||
// fprintf(stderr, "level %d, width = %d\n", k, width);
|
||||
|
||||
/* Allocate the slice */
|
||||
- Pyramid[k] = (double**) calloc(width, sizeof(double*));
|
||||
- if (!Pyramid[k]) {
|
||||
- fprintf(stderr, "Unable to allocate pyramid array.\n");
|
||||
- exit(1);
|
||||
- }
|
||||
- for (y = 0; y < width; y++) {
|
||||
- Pyramid[k][y] = (double*) calloc(width, sizeof(double));
|
||||
- if (!Pyramid[k][y]) {
|
||||
- fprintf(stderr, "Unable to allocate pyramid array.\n");
|
||||
- exit(1);
|
||||
- }
|
||||
+ Pyramid[k] = new float*[pyramid_width];
|
||||
+ for (y = 0; y < pyramid_width; y++) {
|
||||
+ Pyramid[k][y] = new float[pyramid_width];
|
||||
}
|
||||
|
||||
/* Compute the values in the slice */
|
||||
- for (y = 0; y < width; y++) {
|
||||
- for (x = 0; x < width; x++) {
|
||||
+ for (y = 0; y < pyramid_width; y++) {
|
||||
+ for (x = 0; x < pyramid_width; x++) {
|
||||
|
||||
sum = 0;
|
||||
for (i = 0; i < 5; i++) {
|
||||
@@ -146,7 +130,7 @@
|
||||
}
|
||||
|
||||
/* compute the width of the next slice */
|
||||
- width /= 2;
|
||||
+ pyramid_width /= 2;
|
||||
k++;
|
||||
}
|
||||
}
|
||||
@@ -154,27 +138,27 @@
|
||||
void clean_pyramid()
|
||||
{
|
||||
int k=0;
|
||||
- int width = PyramidWidth0;
|
||||
- while(width)
|
||||
+ int pyramid_width = PyramidWidth0;
|
||||
+ while(pyramid_width)
|
||||
{
|
||||
- for( int y=0 ; y<width ; y++ )
|
||||
- free(Pyramid[k][y]);
|
||||
- free(Pyramid[k]);
|
||||
+ for( int y=0 ; y<pyramid_width ; y++ )
|
||||
+ delete[] Pyramid[k][y];
|
||||
+ delete[] Pyramid[k];
|
||||
k++;
|
||||
- width /= 2;
|
||||
+ pyramid_width /= 2;
|
||||
}
|
||||
- free(Pyramid);
|
||||
+ delete[] Pyramid;
|
||||
}
|
||||
|
||||
#ifndef INTERPOLATED
|
||||
-double V1( int x, int y, int level )
|
||||
+float V1( int x, int y, int level )
|
||||
/* PRE: */
|
||||
{
|
||||
int n, s;
|
||||
|
||||
/* Level 0 is a special case, the value is just the image */
|
||||
if (level <= 0)
|
||||
- return(luminance[y][x]);
|
||||
+ return((*lum)(x,y));
|
||||
|
||||
/* Compute the size of the slice */
|
||||
|
||||
@@ -184,16 +168,16 @@
|
||||
return(Pyramid[level-1][y][x]);
|
||||
}
|
||||
#else
|
||||
-double V1( int x, int y, int level )
|
||||
+float V1( int x, int y, int level )
|
||||
/* PRE: */
|
||||
{
|
||||
int x0, y0;
|
||||
int l, size;
|
||||
- double s, t;
|
||||
+ float s, t;
|
||||
|
||||
/* Level 0 is a special case, the value is just the image */
|
||||
if (level == 0)
|
||||
- return(luminance[y][x]);
|
||||
+ return((*lum)(x,y));
|
||||
|
||||
/* Compute the size of the slice */
|
||||
l = 1 << level;
|
||||
@@ -204,8 +188,8 @@
|
||||
x0 = (x0 >= size ? size - 1 : x0);
|
||||
y0 = (y0 >= size ? size - 1 : y0);
|
||||
|
||||
- s = (double)(x - x0*l)/(double)l;
|
||||
- t = (double)(y - y0*l)/(double)l;
|
||||
+ s = (float)(x - x0*l)/(float)l;
|
||||
+ t = (float)(y - y0*l)/(float)l;
|
||||
|
||||
level--;
|
||||
|
@ -1,63 +0,0 @@
|
||||
--- src/reinhard02/pfstmo_reinhard02.1.orig 2007-06-14 16:41:30.000000000 +0000
|
||||
+++ src/reinhard02/pfstmo_reinhard02.1 2014-06-18 15:29:52.318951701 +0000
|
||||
@@ -6,6 +6,7 @@
|
||||
[--scales] [--key <val>] [--phi <val>]
|
||||
[--range <val>] [--lower <val>] [--upper <val>]
|
||||
[--temporal-coherent]
|
||||
+[--border <val>]
|
||||
[--verbose] [--help]
|
||||
.SH DESCRIPTION
|
||||
This command implements a tone mapping operator as described in:
|
||||
@@ -17,32 +18,32 @@
|
||||
According to the paper, results of this TMO require gamma correction.
|
||||
.SH OPTIONS
|
||||
.TP
|
||||
-[--scales]
|
||||
+[--scales] [-s]
|
||||
|
||||
Use scales to calculate local adaptation. That means: use local
|
||||
version of this operator. By default, global version is used.
|
||||
.TP
|
||||
-[--key <val>]
|
||||
+[--key <val>] [-k <val>]
|
||||
|
||||
Set key value for the image (refer to paper for details).
|
||||
Default value: 0.18, accepted range <0..1>.
|
||||
.TP
|
||||
-[--phi <val>]
|
||||
+[--phi <val>] [-p <val>]
|
||||
|
||||
Set phi value (refer to paper for details).
|
||||
Default value: 1.0, accepted range >=0.0.
|
||||
.TP
|
||||
-[--range <val>]
|
||||
+[--range <val>] [-r <val>]
|
||||
|
||||
Set range size (refer to paper for details).
|
||||
Default value: 8, accepted range >1.
|
||||
.TP
|
||||
-[--lower <val>]
|
||||
+[--lower <val>] [-l <val>]
|
||||
|
||||
Set lower scale size (refer to paper for details).
|
||||
Default value: 1, accepted range >=1.
|
||||
.TP
|
||||
-[--upper <val>]
|
||||
+[--upper <val>] [-u <val>]
|
||||
|
||||
Set upper scale size (refer to paper for details).
|
||||
Default value: 43, accepted range >=1.
|
||||
@@ -54,6 +55,13 @@
|
||||
luminance value can change at most by 1% between two consecutive
|
||||
frames.
|
||||
.TP
|
||||
+[--border <val>] [-b <val>]
|
||||
+
|
||||
+Use border mechanism with specified relative border width.
|
||||
+Actual border size will be calculated as the minimal size of the image
|
||||
+(width or height) multiplied on relative border width.
|
||||
+Default value: 0 (don't use border mechanism), accepted range: 0 >= b < 0.5.
|
||||
+.TP
|
||||
--verbose
|
||||
|
||||
Print additional information during program execution.
|
@ -1,142 +0,0 @@
|
||||
--- src/reinhard02/pfstmo_reinhard02.cpp.orig 2008-09-04 12:46:49.000000000 +0000
|
||||
+++ src/reinhard02/pfstmo_reinhard02.cpp 2014-06-18 15:29:52.318951701 +0000
|
||||
@@ -33,6 +33,7 @@
|
||||
|
||||
#include <config.h>
|
||||
|
||||
+#include <exception>
|
||||
#include <iostream>
|
||||
#include <stdio.h>
|
||||
#include <stdlib.h>
|
||||
@@ -40,8 +41,9 @@
|
||||
#include <math.h>
|
||||
|
||||
#include <pfs.h>
|
||||
+#include <pfstmo.h>
|
||||
|
||||
-#include <tmo_reinhard02.h>
|
||||
+#include "tmo_reinhard02.h"
|
||||
|
||||
using namespace std;
|
||||
|
||||
@@ -61,6 +63,7 @@
|
||||
"\t[--key <val>] [--phi <val>] \n"
|
||||
"\t[--range <val>] [--lower <val>] [--upper <val>] \n"
|
||||
"\t[--temporal-coherent]\n"
|
||||
+ "\t[--border <val>] \n"
|
||||
"\t[--verbose] [--help] \n"
|
||||
"See man page for more information.\n" );
|
||||
}
|
||||
@@ -77,6 +80,7 @@
|
||||
int high = 43;
|
||||
bool use_scales = false;
|
||||
bool temporal_coherent = false;
|
||||
+ float border = 0.f;
|
||||
|
||||
static struct option cmdLineOptions[] = {
|
||||
{ "help", no_argument, NULL, 'h' },
|
||||
@@ -88,12 +92,13 @@
|
||||
{ "lower", required_argument, NULL, 'l' },
|
||||
{ "upper", required_argument, NULL, 'u' },
|
||||
{ "temporal-coherent", no_argument, NULL, 't' },
|
||||
+ { "border", required_argument, NULL, 'b' },
|
||||
{ NULL, 0, NULL, 0 }
|
||||
};
|
||||
|
||||
int optionIndex = 0;
|
||||
while( 1 ) {
|
||||
- int c = getopt_long (argc, argv, "hvsk:p:r:l:u:t", cmdLineOptions, &optionIndex);
|
||||
+ int c = getopt_long (argc, argv, "hvsk:p:r:l:u:tb:", cmdLineOptions, &optionIndex);
|
||||
if( c == -1 ) break;
|
||||
switch( c ) {
|
||||
case 'h':
|
||||
@@ -133,6 +138,11 @@
|
||||
case 't':
|
||||
temporal_coherent = true;
|
||||
break;
|
||||
+ case 'b':
|
||||
+ border = (float)strtod( optarg, NULL );
|
||||
+ if( border<0.0f || border>=0.5f )
|
||||
+ throw pfs::Exception("border width value out of range, should be >=0 and <0.5");
|
||||
+ break;
|
||||
case '?':
|
||||
throw QuietException();
|
||||
case ':':
|
||||
@@ -140,17 +150,23 @@
|
||||
}
|
||||
}
|
||||
|
||||
- VERBOSE_STR << "use scales: " << (use_scales ? "yes" : "no" ) << endl;
|
||||
VERBOSE_STR << "key value: " << key << endl;
|
||||
- VERBOSE_STR << "phi value: " << phi << endl;
|
||||
+ VERBOSE_STR << "use scales: " << (use_scales ? "yes" : "no" ) << endl;
|
||||
if( use_scales )
|
||||
{
|
||||
- VERBOSE_STR << "number of scales: " << num << endl;
|
||||
- VERBOSE_STR << "lower scale size: " << low << endl;
|
||||
- VERBOSE_STR << "upper scale size: " << high << endl;
|
||||
#ifndef HAVE_ZFFT
|
||||
VERBOSE_STR << "approximate implementation of scales" << endl;
|
||||
#endif
|
||||
+ VERBOSE_STR << "number of scales: " << num << endl;
|
||||
+ VERBOSE_STR << "lower scale size: " << low << endl;
|
||||
+ VERBOSE_STR << "upper scale size: " << high << endl;
|
||||
+ VERBOSE_STR << "phi value: " << phi << endl;
|
||||
+ }
|
||||
+ VERBOSE_STR << "temporal coherent: " << (temporal_coherent ? "yes" : "no" ) << endl;
|
||||
+ VERBOSE_STR << "use border: " << (border>0.f ? "yes" : "no" ) << endl;
|
||||
+ if( border>0.f )
|
||||
+ {
|
||||
+ VERBOSE_STR << "border width: " << border << endl;
|
||||
}
|
||||
|
||||
while( true )
|
||||
@@ -169,21 +185,19 @@
|
||||
// tone mapping
|
||||
int w = Y->getCols();
|
||||
int h = Y->getRows();
|
||||
- pfs::Array2DImpl* L = new pfs::Array2DImpl(w,h);
|
||||
-
|
||||
- tmo_reinhard02( w, h, Y->getRawData(), L->getRawData(), use_scales, key, phi, num, low, high, temporal_coherent );
|
||||
+ const pfstmo::Array2D ay(w, h, const_cast<float*>(Y->getRawData()));
|
||||
+ pfstmo::Array2D al(w,h);
|
||||
+ tmo_reinhard02( &ay, &al, use_scales, key, phi, num, low, high, temporal_coherent, border );
|
||||
|
||||
for( int x=0 ; x<w ; x++ )
|
||||
for( int y=0 ; y<h ; y++ )
|
||||
{
|
||||
- float scale = (*L)(x,y) / (*Y)(x,y);
|
||||
+ float scale = al(x,y) / ay(x,y);
|
||||
(*Y)(x,y) *= scale;
|
||||
(*X)(x,y) *= scale;
|
||||
(*Z)(x,y) *= scale;
|
||||
}
|
||||
|
||||
- delete L;
|
||||
-
|
||||
//---
|
||||
pfsio.writeFrame( frame, stdout );
|
||||
pfsio.freeFrame( frame );
|
||||
@@ -195,11 +209,19 @@
|
||||
try {
|
||||
pfstmo_reinhard02( argc, argv );
|
||||
}
|
||||
- catch( pfs::Exception ex ) {
|
||||
- fprintf( stderr, PROG_NAME " error: %s\n", ex.getMessage() );
|
||||
+ catch (std::bad_alloc ex) {
|
||||
+ fprintf(stderr, PROG_NAME " error: out of memory\n");
|
||||
+ return EXIT_FAILURE;
|
||||
+ }
|
||||
+ catch (std::exception ex) {
|
||||
+ fprintf(stderr, PROG_NAME " error: %s\n", ex.what());
|
||||
+ return EXIT_FAILURE;
|
||||
+ }
|
||||
+ catch (pfs::Exception ex) {
|
||||
+ fprintf(stderr, PROG_NAME " error: %s\n", ex.getMessage());
|
||||
return EXIT_FAILURE;
|
||||
}
|
||||
- catch( QuietException ex ) {
|
||||
+ catch (QuietException ex) {
|
||||
return EXIT_FAILURE;
|
||||
}
|
||||
return EXIT_SUCCESS;
|
@ -1,726 +0,0 @@
|
||||
--- src/reinhard02/tmo_reinhard02.cpp.orig 2009-04-15 11:49:32.000000000 +0000
|
||||
+++ src/reinhard02/tmo_reinhard02.cpp 2014-06-18 15:29:52.328951402 +0000
|
||||
@@ -17,11 +17,12 @@
|
||||
|
||||
#include <config.h>
|
||||
|
||||
+#include <memory>
|
||||
#include <stdlib.h>
|
||||
#include <stdio.h>
|
||||
#include <math.h>
|
||||
|
||||
-#include "pfstmo.h"
|
||||
+#include <pfstmo.h>
|
||||
|
||||
#ifdef HAVE_ZFFT
|
||||
#include <fft.h>
|
||||
@@ -30,53 +31,44 @@
|
||||
#define APPROXIMATE
|
||||
#endif
|
||||
|
||||
-//--- from defines.h
|
||||
-typedef struct {
|
||||
- int xmax, ymax; /* image dimensions */
|
||||
-} CVTS;
|
||||
|
||||
-typedef double COLOR[3]; /* red, green, blue (or X,Y,Z) */
|
||||
-//--- end of defines.h
|
||||
-
|
||||
-
|
||||
-static int width, height, scale;
|
||||
-static COLOR **image;
|
||||
-static double ***convolved_image;
|
||||
-static double sigma_0, sigma_1;
|
||||
-double **luminance;
|
||||
-
|
||||
-static double k = 1. / (2. * 1.4142136);
|
||||
-static double key = 0.18;
|
||||
-static double threshold = 0.05;
|
||||
-static double phi = 8.;
|
||||
-static double white = 1e20;
|
||||
-static int scale_low = 1;
|
||||
-static int scale_high = 43; // 1.6^8 = 43
|
||||
-static int range = 8;
|
||||
-static int use_scales = 0;
|
||||
-static int use_border = 0;
|
||||
-static CVTS cvts = {0, 0};
|
||||
+static int scale;
|
||||
+static float sigma_0, sigma_1;
|
||||
+static pfstmo::Array2D *img = 0;
|
||||
+pfstmo::Array2D *lum = 0;
|
||||
+int width, height;
|
||||
+
|
||||
+static float k = 1.f / (2.f * 1.4142136f);
|
||||
+static float key = 0.18f;
|
||||
+static float threshold = 0.05f;
|
||||
+static float phi = 8.f;
|
||||
+static float white = 1e20f;
|
||||
+static int scale_low = 1;
|
||||
+static int scale_high = 43; // 1.6^8 = 43
|
||||
+static int range = 8;
|
||||
+static int use_scales = 0;
|
||||
+static float border = 0.f;
|
||||
|
||||
static bool temporal_coherent;
|
||||
|
||||
#ifdef APPROXIMATE
|
||||
extern int PyramidHeight; // set by build_pyramid, defines actual pyramid size
|
||||
-extern double V1 (int x, int y, int level);
|
||||
-extern void build_pyramid (double **luminance, int image_width, int image_height);
|
||||
-extern void clean_pyramid ();
|
||||
+extern float V1(int x, int y, int level);
|
||||
+extern void build_pyramid();
|
||||
+extern void clean_pyramid();
|
||||
#else
|
||||
-
|
||||
+static double ***convolved_image;
|
||||
static zomplex **filter_fft;
|
||||
static zomplex *image_fft, *coeff;
|
||||
|
||||
-#define V1(x,y,i) (convolved_image[i][x][y])
|
||||
+#define V1(x,y,i) ((float)convolved_image[i][x][y])
|
||||
|
||||
#endif
|
||||
|
||||
-#define SIGMA_I(i) (sigma_0 + ((double)i/(double)range)*(sigma_1 - sigma_0))
|
||||
-#define S_I(i) (exp (SIGMA_I(i)))
|
||||
-#define V2(x,y,i) (V1(x,y,i+1))
|
||||
-#define ACTIVITY(x,y,i) ((V1(x,y,i) - V2(x,y,i)) / (((key * pow (2., phi))/(S_I(i)*S_I(i))) + V1(x,y,i)))
|
||||
+#define SIGMA_I(i) (sigma_0 + ((float)i/(float)range)*(sigma_1 - sigma_0))
|
||||
+#define S_I(i) (expf(SIGMA_I(i)))
|
||||
+#define V2(x,y,i) (V1(x,y,i+1))
|
||||
+#define ACTIVITY(x,y,i) ((V1(x,y,i) - V2(x,y,i)) / (((key * powf(2.f, phi))/(S_I(i)*S_I(i))) + V1(x,y,i)))
|
||||
|
||||
|
||||
|
||||
@@ -119,32 +111,32 @@
|
||||
};
|
||||
|
||||
|
||||
-static TemporalSmoothVariable<double> avg_luminance, max_luminance;
|
||||
+static TemporalSmoothVariable<float> avg_luminance, max_luminance;
|
||||
|
||||
|
||||
/*
|
||||
* Kaiser-Bessel stuff
|
||||
*/
|
||||
|
||||
-static double alpha = 2.; /* Kaiser-Bessel window parameter */
|
||||
-static double bbeta; /* Will contain bessel (PI * alpha) */
|
||||
+static float alpha = 2.f; /* Kaiser-Bessel window parameter */
|
||||
+static float bbeta; /* Will contain bessel (PI * alpha) */
|
||||
|
||||
/*
|
||||
* Modified zeroeth order bessel function of the first kind
|
||||
*/
|
||||
|
||||
-double bessel (double x)
|
||||
+static float bessel (float x)
|
||||
{
|
||||
- const double f = 1e-9;
|
||||
+ const float f = 1e-9f;
|
||||
int n = 1;
|
||||
- double s = 1.;
|
||||
- double d = 1.;
|
||||
+ float s = 1.f;
|
||||
+ float d = 1.f;
|
||||
|
||||
- double t;
|
||||
+ float t;
|
||||
|
||||
while (d > f * s)
|
||||
{
|
||||
- t = x / (2. * n);
|
||||
+ t = x / (2.f * n);
|
||||
n++;
|
||||
d *= t * t;
|
||||
s += d;
|
||||
@@ -156,7 +148,7 @@
|
||||
* Initialiser for Kaiser-Bessel computations
|
||||
*/
|
||||
|
||||
-void compute_bessel ()
|
||||
+static void compute_bessel ()
|
||||
{
|
||||
bbeta = bessel (M_PI * alpha);
|
||||
}
|
||||
@@ -166,12 +158,12 @@
|
||||
* Window length M = min (width, height) / 2
|
||||
*/
|
||||
|
||||
-double kaiserbessel (double x, double y, double M)
|
||||
+static float kaiserbessel (float x, float y, float M)
|
||||
{
|
||||
- double d = 1. - ((x*x + y*y) / (M * M));
|
||||
- if (d <= 0.)
|
||||
- return 0.;
|
||||
- return bessel (M_PI * alpha * sqrt (d)) / bbeta;
|
||||
+ float d = 1.f - ((x*x + y*y) / (M * M));
|
||||
+ if (d <= 0.f)
|
||||
+ return 0.f;
|
||||
+ return bessel(M_PI * alpha * sqrtf(d)) / bbeta;
|
||||
}
|
||||
|
||||
|
||||
@@ -180,57 +172,57 @@
|
||||
*/
|
||||
#ifdef HAVE_ZFFT
|
||||
|
||||
-void initialise_fft (int width, int height)
|
||||
+static void initialise_fft (int width, int height)
|
||||
{
|
||||
coeff = zfft2di (width, height, NULL);
|
||||
}
|
||||
|
||||
-void compute_fft (zomplex *array, int width, int height)
|
||||
+static void compute_fft (zomplex *array, int width, int height)
|
||||
{
|
||||
zfft2d (-1, width, height, array, width, coeff);
|
||||
}
|
||||
|
||||
-void compute_inverse_fft (zomplex *array, int width, int height)
|
||||
+static void compute_inverse_fft (zomplex *array, int width, int height)
|
||||
{
|
||||
zfft2d (1, width, height, array, width, coeff);
|
||||
}
|
||||
|
||||
|
||||
// Compute Gaussian blurred images
|
||||
-void gaussian_filter (zomplex *filter, double scale, double k )
|
||||
+static void gaussian_filter (zomplex *filter, double scale, double k )
|
||||
{
|
||||
int x, y;
|
||||
double x1, y1, s;
|
||||
double a = 1. / (k * scale);
|
||||
double c = 1. / 4.;
|
||||
|
||||
- for (y = 0; y < cvts.ymax; y++)
|
||||
+ for (y = 0; y < height; y++)
|
||||
{
|
||||
- y1 = (y >= cvts.ymax / 2) ? y - cvts.ymax : y;
|
||||
+ y1 = (y >= height / 2) ? y - height : y;
|
||||
s = erf (a * (y1 - .5)) - erf (a * (y1 + .5));
|
||||
- for (x = 0; x < cvts.xmax; x++)
|
||||
+ for (x = 0; x < width; x++)
|
||||
{
|
||||
- x1 = (x >= cvts.xmax / 2) ? x - cvts.xmax : x;
|
||||
- filter[y*cvts.xmax + x].re = s * (erf (a * (x1 - .5)) - erf (a * (x1 + .5))) * c;
|
||||
- filter[y*cvts.xmax + x].im = 0.;
|
||||
+ x1 = (x >= width / 2) ? x - width : x;
|
||||
+ filter[y*width + x].re = s * (erf (a * (x1 - .5)) - erf (a * (x1 + .5))) * c;
|
||||
+ filter[y*width + x].im = 0.;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
-void build_gaussian_fft ()
|
||||
+static void build_gaussian_fft ()
|
||||
{
|
||||
- int i;
|
||||
- double length = cvts.xmax * cvts.ymax;
|
||||
- double fft_scale = 1. / sqrt (length);
|
||||
- filter_fft = (zomplex**) calloc (range, sizeof (zomplex*));
|
||||
+ int i;
|
||||
+ int length = width * height;
|
||||
+ double fft_scale = 1. / sqrt((double)length);
|
||||
+ filter_fft = new zomplex*[range];
|
||||
|
||||
for (scale = 0; scale < range; scale++)
|
||||
{
|
||||
fprintf (stderr, "Computing FFT of Gaussian at scale %i (size %i x %i)%c",
|
||||
- scale, cvts.xmax, cvts.ymax, (char)13);
|
||||
- filter_fft[scale] = (zomplex*) calloc (length, sizeof (zomplex));
|
||||
+ scale, width, height, (char)13);
|
||||
+ filter_fft[scale] = new zomplex[length];
|
||||
gaussian_filter (filter_fft[scale], S_I(scale), k);
|
||||
- compute_fft (filter_fft[scale], cvts.xmax, cvts.ymax);
|
||||
+ compute_fft (filter_fft[scale], width, height);
|
||||
for (i = 0; i < length; i++)
|
||||
{
|
||||
filter_fft[scale][i].re *= fft_scale;
|
||||
@@ -240,20 +232,20 @@
|
||||
fprintf (stderr, "\n");
|
||||
}
|
||||
|
||||
-void build_image_fft ()
|
||||
+static void build_image_fft ()
|
||||
{
|
||||
- int i, x, y;
|
||||
- double length = cvts.xmax * cvts.ymax;
|
||||
- double fft_scale = 1. / sqrt (length);
|
||||
+ int i, x, y;
|
||||
+ int length = width * height;
|
||||
+ double fft_scale = 1. / sqrt((double)length);
|
||||
|
||||
fprintf (stderr, "Computing image FFT\n");
|
||||
- image_fft = (zomplex*) calloc (length, sizeof (zomplex));
|
||||
+ image_fft = new zomplex[length];
|
||||
|
||||
- for (y = 0; y < cvts.ymax; y++)
|
||||
- for (x = 0; x < cvts.xmax; x++)
|
||||
- image_fft[y*cvts.xmax + x].re = luminance[y][x];
|
||||
+ for (y = 0; y < height; y++)
|
||||
+ for (x = 0; x < width; x++)
|
||||
+ image_fft[y*width + x].re = (*lum)(x,y);
|
||||
|
||||
- compute_fft (image_fft, cvts.xmax, cvts.ymax);
|
||||
+ compute_fft (image_fft, width, height);
|
||||
for (i = 0; i < length; i++)
|
||||
{
|
||||
image_fft[i].re *= fft_scale;
|
||||
@@ -261,47 +253,61 @@
|
||||
}
|
||||
}
|
||||
|
||||
-void convolve_filter (int scale, zomplex *convolution_fft)
|
||||
+static void convolve_filter (int scale, zomplex *convolution_fft)
|
||||
{
|
||||
int i, x, y;
|
||||
|
||||
- for (i = 0; i < cvts.xmax * cvts.ymax; i++)
|
||||
+ for (i = 0; i < width * height; i++)
|
||||
{
|
||||
convolution_fft[i].re = image_fft[i].re * filter_fft[scale][i].re -
|
||||
image_fft[i].im * filter_fft[scale][i].im;
|
||||
convolution_fft[i].im = image_fft[i].re * filter_fft[scale][i].im +
|
||||
image_fft[i].im * filter_fft[scale][i].re;
|
||||
}
|
||||
- compute_inverse_fft (convolution_fft, cvts.xmax, cvts.ymax);
|
||||
+ compute_inverse_fft (convolution_fft, width, height);
|
||||
i = 0;
|
||||
- for (y = 0; y < cvts.ymax; y++)
|
||||
- for (x = 0; x < cvts.xmax; x++)
|
||||
+ for (y = 0; y < height; y++)
|
||||
+ for (x = 0; x < width; x++)
|
||||
convolved_image[scale][x][y] = convolution_fft[i++].re;
|
||||
}
|
||||
|
||||
-void compute_fourier_convolution ()
|
||||
+static void compute_fourier_convolution ()
|
||||
{
|
||||
int x;
|
||||
zomplex *convolution_fft;
|
||||
|
||||
- initialise_fft (cvts.xmax, cvts.ymax);
|
||||
+ initialise_fft (width, height);
|
||||
build_image_fft ();
|
||||
build_gaussian_fft ();
|
||||
- convolved_image = (double ***) malloc (range * sizeof (double **));
|
||||
+ convolved_image = new double**[range];
|
||||
|
||||
- convolution_fft = (zomplex *) calloc (cvts.xmax * cvts.ymax, sizeof (zomplex));
|
||||
+ convolution_fft = new zomplex[width * height];
|
||||
for (scale = 0; scale < range; scale++)
|
||||
{
|
||||
fprintf (stderr, "Computing convolved image at scale %i%c", scale, (char)13);
|
||||
- convolved_image[scale] = (double **) malloc (cvts.xmax * sizeof (double *));
|
||||
- for (x = 0; x < cvts.xmax; x++)
|
||||
- convolved_image[scale][x] = (double *) malloc (cvts.ymax * sizeof (double));
|
||||
+ convolved_image[scale] = new double*[width];
|
||||
+ for (x = 0; x < width; x++)
|
||||
+ convolved_image[scale][x] = new double[height];
|
||||
convolve_filter (scale, convolution_fft);
|
||||
- free (filter_fft[scale]);
|
||||
+ delete[] filter_fft[scale];
|
||||
}
|
||||
+ delete[] filter_fft;
|
||||
fprintf (stderr, "\n");
|
||||
- free (convolution_fft);
|
||||
- free (image_fft);
|
||||
+ delete[] convolution_fft;
|
||||
+ delete[] image_fft;
|
||||
+}
|
||||
+
|
||||
+static void clean_convolved_image()
|
||||
+{
|
||||
+ for (scale = 0; scale < range; scale++)
|
||||
+ {
|
||||
+ for (x = 0; x < width; x++)
|
||||
+ {
|
||||
+ delete[] convolved_image[scale][x];
|
||||
+ }
|
||||
+ delete[] convolved_image[scale];
|
||||
+ }
|
||||
+ delete[] convolved_image;
|
||||
}
|
||||
|
||||
#endif // #ifdef HAVE_ZFFT
|
||||
@@ -312,188 +318,141 @@
|
||||
* Tonemapping routines
|
||||
*/
|
||||
|
||||
-double get_maxvalue ()
|
||||
+static void tonemap()
|
||||
{
|
||||
- double max = 0.;
|
||||
- int x, y;
|
||||
-
|
||||
- for (y = 0; y < cvts.ymax; y++)
|
||||
- for (x = 0; x < cvts.xmax; x++)
|
||||
- max = (max < image[y][x][0]) ? image[y][x][0] : max;
|
||||
- return max;
|
||||
-}
|
||||
-
|
||||
-void tonemap_image ()
|
||||
-{
|
||||
- double Lmax2;
|
||||
- int x, y;
|
||||
- int scale, prefscale;
|
||||
-
|
||||
- if (white < 1e20)
|
||||
- Lmax2 = white * white;
|
||||
- else
|
||||
+ for (int y = 0; y<height; y++)
|
||||
{
|
||||
- if( temporal_coherent ) {
|
||||
- max_luminance.set( get_maxvalue() );
|
||||
- Lmax2 = max_luminance.get();
|
||||
- } else Lmax2 = get_maxvalue();
|
||||
- Lmax2 *= Lmax2;
|
||||
- }
|
||||
-
|
||||
- for (y = 0; y < cvts.ymax; y++)
|
||||
- for (x = 0; x < cvts.xmax; x++)
|
||||
+ for (int x = 0; x<width; x++)
|
||||
{
|
||||
- if (use_scales)
|
||||
+ int prefscale = range-1;
|
||||
+ for (int scale = 0; scale<range-1; scale++)
|
||||
{
|
||||
- prefscale = range - 1;
|
||||
- for (scale = 0; scale < range - 1; scale++)
|
||||
- if ( scale >= PyramidHeight || fabs (ACTIVITY(x,y,scale)) > threshold)
|
||||
+ if (scale>=PyramidHeight || fabsf(ACTIVITY(x,y,scale))>threshold)
|
||||
{
|
||||
prefscale = scale;
|
||||
break;
|
||||
}
|
||||
- image[y][x][0] /= 1. + V1(x,y,prefscale);
|
||||
}
|
||||
- else
|
||||
- image[y][x][0] = image[y][x][0] * (1. + (image[y][x][0] / Lmax2)) / (1. + image[y][x][0]);
|
||||
- // image[y][x][0] /= (1. + image[y][x][0]);
|
||||
+ (*img)(x,y) = (*lum)(x,y)/(1.f+V1(x,y,prefscale));
|
||||
}
|
||||
+ }
|
||||
}
|
||||
|
||||
-/*
|
||||
- * Miscellaneous functions
|
||||
- */
|
||||
-
|
||||
-void clamp_image ()
|
||||
+static float get_maxvalue()
|
||||
{
|
||||
- int x, y;
|
||||
-
|
||||
- for (y = 0; y < cvts.ymax; y++)
|
||||
- for (x = 0; x < cvts.xmax; x++)
|
||||
- {
|
||||
- image[y][x][0] = (image[y][x][0] > 1.) ? 1. : image[y][x][0];
|
||||
- image[y][x][1] = (image[y][x][1] > 1.) ? 1. : image[y][x][1];
|
||||
- image[y][x][2] = (image[y][x][2] > 1.) ? 1. : image[y][x][2];
|
||||
- }
|
||||
+ float max = 0.f;
|
||||
+ int x, y;
|
||||
+ for (int i = width*height; i--; )
|
||||
+ {
|
||||
+ float l = (*img)(i);
|
||||
+ if (max<l) max = l;
|
||||
+ }
|
||||
+ return max;
|
||||
}
|
||||
|
||||
-double log_average ()
|
||||
+static void tonecompress()
|
||||
{
|
||||
- int x, y;
|
||||
- double sum = 0.;
|
||||
-
|
||||
- for (y = 0; y < cvts.ymax; y++)
|
||||
- for (x = 0; x < cvts.xmax; x++)
|
||||
- sum += log (0.00001 + luminance[y][x]);
|
||||
- return exp (sum / (double)(cvts.xmax * cvts.ymax));
|
||||
-}
|
||||
-
|
||||
-void scale_to_midtone ()
|
||||
-{
|
||||
- int x, y, u, v, d;
|
||||
- double factor;
|
||||
- double scale_factor;
|
||||
- double low_tone = key / 3.;
|
||||
- int border_size = (cvts.xmax < cvts.ymax) ? int(cvts.xmax / 5.) : int(cvts.ymax / 5.);
|
||||
- int hw = cvts.xmax >> 1;
|
||||
- int hh = cvts.ymax >> 1;
|
||||
-
|
||||
- double avg;
|
||||
- if( temporal_coherent ) {
|
||||
- avg_luminance.set( log_average() );
|
||||
- avg = avg_luminance.get();
|
||||
- } else avg = log_average();
|
||||
-
|
||||
- scale_factor = 1.0 / avg;
|
||||
- for (y = 0; y < cvts.ymax; y++)
|
||||
- for (x = 0; x < cvts.xmax; x++)
|
||||
+ float Lmax2;
|
||||
+ if (white<1e20f)
|
||||
+ {
|
||||
+ Lmax2 = white;
|
||||
+ }
|
||||
+ else
|
||||
+ {
|
||||
+ if (temporal_coherent)
|
||||
{
|
||||
- if (use_border)
|
||||
- {
|
||||
- u = (x > hw) ? cvts.xmax - x : x;
|
||||
- v = (y > hh) ? cvts.ymax - y : y;
|
||||
- d = (u < v) ? u : v;
|
||||
- factor = (d < border_size) ? (key - low_tone) *
|
||||
- kaiserbessel (border_size - d, 0, border_size) +
|
||||
- low_tone : key;
|
||||
- }
|
||||
- else
|
||||
- factor = key;
|
||||
- image[y][x][0] *= scale_factor * factor;
|
||||
- luminance[y][x] *= scale_factor * factor;
|
||||
+ max_luminance.set(get_maxvalue());
|
||||
+ Lmax2 = max_luminance.get();
|
||||
}
|
||||
-}
|
||||
-
|
||||
-void copy_luminance ()
|
||||
-{
|
||||
- int x, y;
|
||||
-
|
||||
- for (x = 0; x < cvts.xmax; x++)
|
||||
- for (y = 0; y < cvts.ymax; y++)
|
||||
- luminance[y][x] = image[y][x][0];
|
||||
+ else
|
||||
+ {
|
||||
+ Lmax2 = get_maxvalue();
|
||||
+ }
|
||||
+ }
|
||||
+ Lmax2 *= Lmax2;
|
||||
+ for (int i = width*height; i--; )
|
||||
+ {
|
||||
+ (*img)(i) = (*lum)(i)*(1.f+(*lum)(i)/Lmax2)/(1.f+(*lum)(i));
|
||||
+ }
|
||||
}
|
||||
|
||||
/*
|
||||
- * Memory allocation
|
||||
+ * Miscellaneous functions
|
||||
*/
|
||||
-void allocate_memory ()
|
||||
-{
|
||||
- int y;
|
||||
|
||||
- luminance = (double **) malloc (cvts.ymax * sizeof (double *));
|
||||
- image = (COLOR **) malloc (cvts.ymax * sizeof (COLOR *));
|
||||
- for (y = 0; y < cvts.ymax; y++)
|
||||
+static float log_average()
|
||||
+{
|
||||
+ double sum = 0.;
|
||||
+ int s = width*height;
|
||||
+ for (int i = s; i--; )
|
||||
{
|
||||
- luminance[y] = (double *) malloc (cvts.xmax * sizeof (double));
|
||||
- image[y] = (COLOR *) malloc (cvts.xmax * sizeof (COLOR));
|
||||
+ sum += log(0.00001+(*lum)(i));
|
||||
}
|
||||
+ return expf((float)sum/(float)s);
|
||||
}
|
||||
|
||||
-void deallocate_memory ()
|
||||
+static void scale_to_midtone()
|
||||
{
|
||||
- int y;
|
||||
+ float avg, scale_factor;
|
||||
+ int border_size = (int)(((width<height) ? width : height)*border);
|
||||
|
||||
- for (y = 0; y < cvts.ymax; y++)
|
||||
+ avg = log_average();
|
||||
+ if (temporal_coherent)
|
||||
{
|
||||
- free(luminance[y]);
|
||||
- free(image[y]);
|
||||
+ avg_luminance.set(avg);
|
||||
+ avg = avg_luminance.get();
|
||||
}
|
||||
- free( luminance );
|
||||
- free( image );
|
||||
-}
|
||||
-
|
||||
-
|
||||
-void dynamic_range ()
|
||||
-{
|
||||
- int x, y;
|
||||
- double minval = 1e20;
|
||||
- double maxval = -1e20;
|
||||
-
|
||||
- for (x = 0; x < cvts.xmax; x++)
|
||||
- for (y = 0; y < cvts.ymax; y++)
|
||||
+
|
||||
+ scale_factor = key / avg;
|
||||
+ for (int i = width*height; i--; )
|
||||
+ {
|
||||
+ (*lum)(i) *= scale_factor;
|
||||
+ }
|
||||
+ if (border_size)
|
||||
+ {
|
||||
+ int hw = width >> 1;
|
||||
+ int hh = height >> 1;
|
||||
+ for (int y = 0; y < height; y++)
|
||||
{
|
||||
- if ((luminance[y][x] < minval) &&
|
||||
- (luminance[y][x] > 0.0))
|
||||
- minval = luminance[y][x];
|
||||
- if (luminance[y][x] > maxval)
|
||||
- maxval = luminance[y][x];
|
||||
+ int v = (y > hh) ? height - y : y;
|
||||
+ for (int x = 0; x < width; x++)
|
||||
+ {
|
||||
+ int u = (x > hw) ? width - x : x;
|
||||
+ int d = (u < v) ? u : v;
|
||||
+ if (d < border_size)
|
||||
+ (*lum)(x,y) *=
|
||||
+ (2.f * kaiserbessel(border_size - d, 0, border_size) + 1.f) / 3.f;
|
||||
+ }
|
||||
}
|
||||
- fprintf (stderr, "\tRange of values = %9.8f - %9.8f\n", minval, maxval);
|
||||
- fprintf (stderr, "\tDynamic range = %i:1\n", (int)(maxval/minval));
|
||||
+ }
|
||||
}
|
||||
|
||||
-void print_parameter_settings ()
|
||||
+static void dynamic_range()
|
||||
{
|
||||
- fprintf (stderr, "\tImage size = %i %i\n", cvts.xmax, cvts.ymax);
|
||||
- fprintf (stderr, "\tLowest scale = %i pixels\t\t(-low <integer>)\n", scale_low);
|
||||
- fprintf (stderr, "\tHighest scale = %i pixels\t\t(-high <integer>)\n", scale_high);
|
||||
- fprintf (stderr, "\tNumber of scales = %i\t\t\t(-num <integer>)\n", range);
|
||||
- fprintf (stderr, "\tScale spacing = %f\n", S_I(1) / S_I(0));
|
||||
- fprintf (stderr, "\tKey value = %f\t\t(-key <float>)\n", key);
|
||||
- fprintf (stderr, "\tWhite value = %f\t\t(-white <float>)\n", white);
|
||||
- fprintf (stderr, "\tPhi = %f\t\t(-phi <float>)\n", phi);
|
||||
- fprintf (stderr, "\tThreshold = %f\t\t(-threshold <float>)\n", threshold);
|
||||
- dynamic_range ();
|
||||
+ float min = 1e20f;
|
||||
+ float max = -1e20f;
|
||||
+ for (int i = width*height; i--; )
|
||||
+ {
|
||||
+ float l = (*lum)(i);
|
||||
+ if (min>l && l>0.f) min = l;
|
||||
+ if (max<l) max = l;
|
||||
+ }
|
||||
+ fprintf(stderr, "\tRange of values = %9.8f - %9.8f\n", min, max);
|
||||
+ fprintf(stderr, "\tDynamic range = %i:1\n", (int)(max/min));
|
||||
+}
|
||||
+
|
||||
+static void print_parameter_settings()
|
||||
+{
|
||||
+ fprintf(stderr, "\tImage size = %i %i\n", width, height);
|
||||
+ fprintf(stderr, "\tLowest scale = %i pixels\t\t(-low <integer>)\n", scale_low);
|
||||
+ fprintf(stderr, "\tHighest scale = %i pixels\t\t(-high <integer>)\n", scale_high);
|
||||
+ fprintf(stderr, "\tNumber of scales = %i\t\t\t(-num <integer>)\n", range);
|
||||
+ fprintf(stderr, "\tScale spacing = %f\n", S_I(1) / S_I(0));
|
||||
+ fprintf(stderr, "\tKey value = %f\t\t(-key <float>)\n", key);
|
||||
+ fprintf(stderr, "\tWhite value = %f\t\t(-white <float>)\n", white);
|
||||
+ fprintf(stderr, "\tPhi = %f\t\t(-phi <float>)\n", phi);
|
||||
+ fprintf(stderr, "\tThreshold = %f\t\t(-threshold <float>)\n", threshold);
|
||||
+ dynamic_range();
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -507,16 +466,15 @@
|
||||
* @param num number of scales to use in computation (default: 8)
|
||||
* @param low size in pixels of smallest scale (should be kept at 1)
|
||||
* @param high size in pixels of largest scale (default 1.6^8 = 43)
|
||||
+ * @param temporal_coherent tone mapping is time coherent for video sequences
|
||||
+ * @param border relative width of image area scaled to midtone separately (default: 0 - use key for whole image)
|
||||
*/
|
||||
void tmo_reinhard02(
|
||||
- unsigned int width, unsigned int height,
|
||||
- const float *nY, float *nL,
|
||||
+ const pfstmo::Array2D *Y, pfstmo::Array2D *L,
|
||||
bool use_scales, float key, float phi,
|
||||
- int num, int low, int high, bool temporal_coherent )
|
||||
+ int num, int low, int high, bool temporal_coherent, float border)
|
||||
{
|
||||
- const pfstmo::Array2D* Y = new pfstmo::Array2D(width, height, const_cast<float*>(nY));
|
||||
- pfstmo::Array2D* L = new pfstmo::Array2D(width, height, nL);
|
||||
-
|
||||
+ std::auto_ptr<pfstmo::Array2D> l(0);
|
||||
int x,y;
|
||||
|
||||
::key = key;
|
||||
@@ -526,45 +484,45 @@
|
||||
::scale_high = high;
|
||||
::use_scales = (use_scales) ? 1 : 0;
|
||||
::temporal_coherent = temporal_coherent;
|
||||
+ ::border = border;
|
||||
|
||||
- cvts.xmax = Y->getCols();
|
||||
- cvts.ymax = Y->getRows();
|
||||
+ width = Y->getCols();
|
||||
+ height = Y->getRows();
|
||||
|
||||
- sigma_0 = log (scale_low);
|
||||
- sigma_1 = log (scale_high);
|
||||
+ sigma_0 = logf(scale_low);
|
||||
+ sigma_1 = logf(scale_high);
|
||||
|
||||
compute_bessel();
|
||||
- allocate_memory ();
|
||||
|
||||
- // reading image
|
||||
- for( y=0 ; y<cvts.ymax ; y++ )
|
||||
- for( x=0 ; x<cvts.xmax ; x++ )
|
||||
- image[y][x][0] = (*Y)(x,y);
|
||||
+ img = lum = L;
|
||||
+ if (use_scales)
|
||||
+ {
|
||||
+ l.reset(new pfstmo::Array2D(width,height));
|
||||
+ lum = l.get();
|
||||
+ }
|
||||
+ copyArray(Y,lum);
|
||||
|
||||
- copy_luminance();
|
||||
scale_to_midtone();
|
||||
|
||||
- if( use_scales )
|
||||
+ if (use_scales)
|
||||
{
|
||||
#ifdef APPROXIMATE
|
||||
- build_pyramid(luminance, cvts.xmax, cvts.ymax);
|
||||
+ build_pyramid();
|
||||
#else
|
||||
compute_fourier_convolution();
|
||||
#endif
|
||||
+ tonemap();
|
||||
+ }
|
||||
+ else
|
||||
+ {
|
||||
+ tonecompress();
|
||||
}
|
||||
-
|
||||
- tonemap_image();
|
||||
-
|
||||
- // saving image
|
||||
- for( y=0 ; y<cvts.ymax ; y++ )
|
||||
- for( x=0 ; x<cvts.xmax ; x++ )
|
||||
- (*L)(x,y) = image[y][x][0];
|
||||
|
||||
// print_parameter_settings();
|
||||
|
||||
- deallocate_memory();
|
||||
+#ifdef APPROXIMATE
|
||||
clean_pyramid();
|
||||
-
|
||||
- delete L;
|
||||
- delete Y;
|
||||
+#else
|
||||
+ clean_convolved_image();
|
||||
+#endif
|
||||
}
|
@ -1,27 +0,0 @@
|
||||
--- src/reinhard02/tmo_reinhard02.h.orig 2008-09-04 12:46:49.000000000 +0000
|
||||
+++ src/reinhard02/tmo_reinhard02.h 2014-06-18 15:29:52.328951402 +0000
|
||||
@@ -13,8 +13,6 @@
|
||||
/*
|
||||
* @brief Photographic tone-reproduction
|
||||
*
|
||||
- * @param width image width
|
||||
- * @param height image height
|
||||
* @param Y input luminance
|
||||
* @param L output tonemapped intensities
|
||||
* @param use_scales true: local version, false: global version of TMO
|
||||
@@ -23,10 +21,12 @@
|
||||
* @param num number of scales to use in computation (default: 8)
|
||||
* @param low size in pixels of smallest scale (should be kept at 1)
|
||||
* @param high size in pixels of largest scale (default 1.6^8 = 43)
|
||||
+ * @param temporal_coherent tone mapping is time coherent for video sequences
|
||||
+ * @param border relative width of image area scaled to midtone separately (default: 0 - use key for whole image)
|
||||
*/
|
||||
-void tmo_reinhard02(unsigned int width, unsigned int height,
|
||||
- const float *Y, float *L,
|
||||
+void tmo_reinhard02(
|
||||
+ const pfstmo::Array2D *Y, pfstmo::Array2D *L,
|
||||
bool use_scales, float key, float phi,
|
||||
- int num, int low, int high, bool temporal_coherent );
|
||||
+ int num, int low, int high, bool temporal_coherent, float border = 0.f);
|
||||
|
||||
#endif /* _tmo_reinhard02_h_ */
|
@ -1,17 +0,0 @@
|
||||
--- src/reinhard05/pfstmo_reinhard05.cpp.orig 2008-09-04 12:46:49.000000000 +0000
|
||||
+++ src/reinhard05/pfstmo_reinhard05.cpp 2014-06-18 15:29:52.328951402 +0000
|
||||
@@ -157,6 +157,14 @@
|
||||
try {
|
||||
pfstmo_reinhard05( argc, argv );
|
||||
}
|
||||
+ catch (std::bad_alloc ex) {
|
||||
+ fprintf(stderr, PROG_NAME " error: out of memory\n");
|
||||
+ return EXIT_FAILURE;
|
||||
+ }
|
||||
+ catch (std::exception ex) {
|
||||
+ fprintf(stderr, PROG_NAME " error: %s\n", ex.what());
|
||||
+ return EXIT_FAILURE;
|
||||
+ }
|
||||
catch( pfs::Exception ex ) {
|
||||
fprintf( stderr, PROG_NAME " error: %s\n", ex.getMessage() );
|
||||
return EXIT_FAILURE;
|
@ -1,6 +0,0 @@
|
||||
Pfstmo package contains the implementation of state-of-the-art tone
|
||||
mapping operators. The motivation here is to provide an implementation
|
||||
of tone mapping operators suitable for convenient processing of both
|
||||
static images and animations.
|
||||
|
||||
WWW: http://www.mpi-inf.mpg.de/resources/tmo/
|
@ -1,16 +0,0 @@
|
||||
bin/pfstmo_pattanaik00
|
||||
bin/pfstmo_reinhard05
|
||||
bin/pfstmo_reinhard02
|
||||
bin/pfstmo_durand02
|
||||
bin/pfstmo_drago03
|
||||
bin/pfstmo_mantiuk06
|
||||
bin/pfstmo_mantiuk08
|
||||
bin/pfstmo_fattal02
|
||||
man/man1/pfstmo_pattanaik00.1.gz
|
||||
man/man1/pfstmo_reinhard05.1.gz
|
||||
man/man1/pfstmo_reinhard02.1.gz
|
||||
man/man1/pfstmo_durand02.1.gz
|
||||
man/man1/pfstmo_drago03.1.gz
|
||||
man/man1/pfstmo_mantiuk06.1.gz
|
||||
man/man1/pfstmo_mantiuk08.1.gz
|
||||
man/man1/pfstmo_fattal02.1.gz
|
Loading…
Reference in New Issue
Block a user