Merge branch 'pfcorrect-cleanup' of https://github.com/Beep6581/RawTherapee into pfcorrect-cleanup
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b439719cc5
@ -92,7 +92,7 @@ void RawImageSource::eahd_demosaic ()
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// end of cielab preparation
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const JaggedArray<float>
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JaggedArray<float>
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rh (W, 3), gh (W, 4), bh (W, 3),
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rv (W, 3), gv (W, 4), bv (W, 3),
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lLh (W, 3), lah (W, 3), lbh (W, 3),
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@ -497,7 +497,7 @@ void RawImageSource::hphd_demosaic ()
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plistener->setProgress (0.0);
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}
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const JaggedArray<float> hpmap (W, H, true);
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JaggedArray<float> hpmap (W, H, true);
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#ifdef _OPENMP
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#pragma omp parallel
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@ -3943,7 +3943,7 @@ void RawImageSource::rcd_demosaic()
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plistener->setProgressStr(Glib::ustring::compose(M("TP_RAW_DMETHOD_PROGRESSBAR"), "rcd"));
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plistener->setProgress(0);
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}
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int width = W, height = H;
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std::vector<float> cfa(width * height);
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@ -3963,15 +3963,15 @@ void RawImageSource::rcd_demosaic()
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plistener->setProgress(0.05);
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}
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// ------------------------------------------------------------------------
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/* RT
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/* RT
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int row, col, indx, c;
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*/
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*/
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int w1 = width, w2 = 2 * width, w3 = 3 * width, w4 = 4 * width;
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//Tolerance to avoid dividing by zero
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static const float eps = 1e-5, epssq = 1e-10;
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/* RT
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/* RT
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//Gradients
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float N_Grad, E_Grad, W_Grad, S_Grad, NW_Grad, NE_Grad, SW_Grad, SE_Grad;
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@ -3981,7 +3981,7 @@ void RawImageSource::rcd_demosaic()
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//Directional discrimination
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//float V_Stat, H_Stat, P_Stat, Q_Stat;
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float VH_Central_Value, VH_Neighbour_Value, PQ_Central_Value, PQ_Neighbour_Value;
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*/
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*/
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float *VH_Dir, *PQ_Dir;
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//Low pass filter
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@ -4001,7 +4001,7 @@ void RawImageSource::rcd_demosaic()
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for (int col = 4, indx = row * width + col; col < width - 4; col++, indx++ ) {
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//Calculate h/v local discrimination
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float V_Stat = max(epssq, - 18.0f * cfa[indx] * cfa[indx - w1] - 18.0f * cfa[indx] * cfa[indx + w1] - 36.0f * cfa[indx] * cfa[indx - w2] - 36.0f * cfa[indx] * cfa[indx + w2] + 18.0f * cfa[indx] * cfa[indx - w3] + 18.0f * cfa[indx] * cfa[indx + w3] - 2.0f * cfa[indx] * cfa[indx - w4] - 2.0f * cfa[indx] * cfa[indx + w4] + 38.0f * cfa[indx] * cfa[indx] - 70.0f * cfa[indx - w1] * cfa[indx + w1] - 12.0f * cfa[indx - w1] * cfa[indx - w2] + 24.0f * cfa[indx - w1] * cfa[indx + w2] - 38.0f * cfa[indx - w1] * cfa[indx - w3] + 16.0f * cfa[indx - w1] * cfa[indx + w3] + 12.0f * cfa[indx - w1] * cfa[indx - w4] - 6.0f * cfa[indx - w1] * cfa[indx + w4] + 46.0f * cfa[indx - w1] * cfa[indx - w1] + 24.0f * cfa[indx + w1] * cfa[indx - w2] - 12.0f * cfa[indx + w1] * cfa[indx + w2] + 16.0f * cfa[indx + w1] * cfa[indx - w3] - 38.0f * cfa[indx + w1] * cfa[indx + w3] - 6.0f * cfa[indx + w1] * cfa[indx - w4] + 12.0f * cfa[indx + w1] * cfa[indx + w4] + 46.0f * cfa[indx + w1] * cfa[indx + w1] + 14.0f * cfa[indx - w2] * cfa[indx + w2] - 12.0f * cfa[indx - w2] * cfa[indx + w3] - 2.0f * cfa[indx - w2] * cfa[indx - w4] + 2.0f * cfa[indx - w2] * cfa[indx + w4] + 11.0f * cfa[indx - w2] * cfa[indx - w2] - 12.0f * cfa[indx + w2] * cfa[indx - w3] + 2.0f * cfa[indx + w2] * cfa[indx - w4] - 2.0f * cfa[indx + w2] * cfa[indx + w4] + 11.0f * cfa[indx + w2] * cfa[indx + w2] + 2.0f * cfa[indx - w3] * cfa[indx + w3] - 6.0f * cfa[indx - w3] * cfa[indx - w4] + 10.0f * cfa[indx - w3] * cfa[indx - w3] - 6.0f * cfa[indx + w3] * cfa[indx + w4] + 10.0f * cfa[indx + w3] * cfa[indx + w3] + 1.0f * cfa[indx - w4] * cfa[indx - w4] + 1.0f * cfa[indx + w4] * cfa[indx + w4]);
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float H_Stat = max(epssq, - 18.0f * cfa[indx] * cfa[indx - 1] - 18.0f * cfa[indx] * cfa[indx + 1] - 36.0f * cfa[indx] * cfa[indx - 2] - 36.0f * cfa[indx] * cfa[indx + 2] + 18.0f * cfa[indx] * cfa[indx - 3] + 18.0f * cfa[indx] * cfa[indx + 3] - 2.0f * cfa[indx] * cfa[indx - 4] - 2.0f * cfa[indx] * cfa[indx + 4] + 38.0f * cfa[indx] * cfa[indx] - 70.0f * cfa[indx - 1] * cfa[indx + 1] - 12.0f * cfa[indx - 1] * cfa[indx - 2] + 24.0f * cfa[indx - 1] * cfa[indx + 2] - 38.0f * cfa[indx - 1] * cfa[indx - 3] + 16.0f * cfa[indx - 1] * cfa[indx + 3] + 12.0f * cfa[indx - 1] * cfa[indx - 4] - 6.0f * cfa[indx - 1] * cfa[indx + 4] + 46.0f * cfa[indx - 1] * cfa[indx - 1] + 24.0f * cfa[indx + 1] * cfa[indx - 2] - 12.0f * cfa[indx + 1] * cfa[indx + 2] + 16.0f * cfa[indx + 1] * cfa[indx - 3] - 38.0f * cfa[indx + 1] * cfa[indx + 3] - 6.0f * cfa[indx + 1] * cfa[indx - 4] + 12.0f * cfa[indx + 1] * cfa[indx + 4] + 46.0f * cfa[indx + 1] * cfa[indx + 1] + 14.0f * cfa[indx - 2] * cfa[indx + 2] - 12.0f * cfa[indx - 2] * cfa[indx + 3] - 2.0f * cfa[indx - 2] * cfa[indx - 4] + 2.0f * cfa[indx - 2] * cfa[indx + 4] + 11.0f * cfa[indx - 2] * cfa[indx - 2] - 12.0f * cfa[indx + 2] * cfa[indx - 3] + 2.0f * cfa[indx + 2] * cfa[indx - 4] - 2.0f * cfa[indx + 2] * cfa[indx + 4] + 11.0f * cfa[indx + 2] * cfa[indx + 2] + 2.0f * cfa[indx - 3] * cfa[indx + 3] - 6.0f * cfa[indx - 3] * cfa[indx - 4] + 10.0f * cfa[indx - 3] * cfa[indx - 3] - 6.0f * cfa[indx + 3] * cfa[indx + 4] + 10.0f * cfa[indx + 3] * cfa[indx + 3] + 1.0f * cfa[indx - 4] * cfa[indx - 4] + 1.0f * cfa[indx + 4] * cfa[indx + 4]);
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VH_Dir[indx] = V_Stat / (V_Stat + H_Stat);
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@ -4023,7 +4023,7 @@ void RawImageSource::rcd_demosaic()
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#ifdef _OPENMP
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#pragma omp parallel for
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#endif
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#endif
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for ( int row = 2; row < height - 2; row++ ) {
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for ( int col = 2 + (FC( row, 0 ) & 1), indx = row * width + col; col < width - 2; col += 2, indx += 2 ) {
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@ -4084,7 +4084,7 @@ void RawImageSource::rcd_demosaic()
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plistener->setProgress(0.5);
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}
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// ------------------------------------------------------------------------
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/**
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* STEP 4: Populate the red and blue channels
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*/
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@ -4154,7 +4154,7 @@ void RawImageSource::rcd_demosaic()
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plistener->setProgress(0.825);
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}
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// -------------------------------------------------------------------------
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// Step 4.3: Populate the red and blue channels at green CFA positions
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#ifdef _OPENMP
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#pragma omp parallel for
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@ -4165,7 +4165,7 @@ void RawImageSource::rcd_demosaic()
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// Refined vertical and horizontal local discrimination
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float VH_Central_Value = VH_Dir[indx];
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float VH_Neighbourhood_Value = 0.25f * ( VH_Dir[indx - w1 - 1] + VH_Dir[indx - w1 + 1] + VH_Dir[indx + w1 - 1] + VH_Dir[indx + w1 + 1] );
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float VH_Disc = ( fabs( 0.5f - VH_Central_Value ) < fabs( 0.5f - VH_Neighbourhood_Value ) ) ? VH_Neighbourhood_Value : VH_Central_Value;
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for ( int c = 0; c <= 2; c += 2 ) {
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@ -19,6 +19,8 @@
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*/
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#pragma once
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#include <cstring>
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#include "noncopyable.h"
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namespace rtengine
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@ -26,60 +28,46 @@ namespace rtengine
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// These emulate a jagged array, but use only 2 allocations instead of 1 + H.
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template<class T>
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inline T** const allocJaggedArray (const int W, const int H, const bool initZero = false)
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{
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T** const a = new T*[H];
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a[0] = new T[H * W];
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for (int i = 1; i < H; ++i) {
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a[i] = a[i - 1] + W;
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}
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if (initZero) {
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std::memset(a[0], 0, sizeof(T) * W * H);
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}
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return a;
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}
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template<class T>
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inline void freeJaggedArray (T** const a)
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{
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delete [] a[0];
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delete [] a;
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}
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template<class T>
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template<typename T>
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class JaggedArray :
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public NonCopyable
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{
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public:
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JaggedArray (const int W, const int H, const bool initZero = false)
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JaggedArray(std::size_t width, std::size_t height, bool init_zero = false) :
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array(
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[width, height, init_zero]() -> T**
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{
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T** const res = new T*[height];
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res[0] = new T[height * width];
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for (std::size_t i = 1; i < height; ++i) {
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res[i] = res[i - 1] + width;
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}
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if (init_zero) {
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std::memset(res[0], 0, sizeof(T) * width * height);
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}
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return res;
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}()
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)
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{
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a = allocJaggedArray<T> (W, H, initZero);
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}
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~JaggedArray ()
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{
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if (a) {
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freeJaggedArray<T> (a);
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a = nullptr;
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}
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}
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operator T** const () const
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~JaggedArray ()
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{
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return a;
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delete[] array[0];
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delete[] array;
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}
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operator T** ()
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{
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return array;
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}
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private:
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T** a;
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T** const array;
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};
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// Declared but not defined to prevent
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// explicitly freeing a JaggedArray<T> implicitly cast to T**.
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template<class T>
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void freeJaggedArray (JaggedArray<T>&);
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} // rtengine
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@ -124,7 +124,7 @@ void SHMap::update (Imagefloat* img, double radius, double lumi[3], bool hq, int
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rangefn[lutSize - 1] = 1e-15f;
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// We need one temporary buffer
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const JaggedArray<float> buffer (W, H);
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JaggedArray<float> buffer (W, H);
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// the final result has to be in map
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// for an even number of levels that means: map => buffer, buffer => map
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@ -255,7 +255,7 @@ void SHMap::updateL (float** L, double radius, bool hq, int skip)
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//printf("lut=%d rf5=%f rfm=%f\n thre=%f",lutSize, rangefn[5],rangefn[lutSize-10],thresh );
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// We need one temporary buffer
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const JaggedArray<float> buffer (W, H);
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JaggedArray<float> buffer (W, H);
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// the final result has to be in map
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// for an even number of levels that means: map => buffer, buffer => map
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