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Diffstat (limited to 'source/blender/compositor/operations/COM_FastGaussianBlurOperation.cpp')
-rw-r--r--source/blender/compositor/operations/COM_FastGaussianBlurOperation.cpp197
1 files changed, 197 insertions, 0 deletions
diff --git a/source/blender/compositor/operations/COM_FastGaussianBlurOperation.cpp b/source/blender/compositor/operations/COM_FastGaussianBlurOperation.cpp
new file mode 100644
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+++ b/source/blender/compositor/operations/COM_FastGaussianBlurOperation.cpp
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+/*
+ * Copyright 2011, Blender Foundation.
+ *
+ * This program is free software; you can redistribute it and/or
+ * modify it under the terms of the GNU General Public License
+ * as published by the Free Software Foundation; either version 2
+ * of the License, or (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ * GNU General Public License for more details.
+ *
+ * You should have received a copy of the GNU General Public License
+ * along with this program; if not, write to the Free Software Foundation,
+ * Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
+ *
+ * Contributor:
+ * Jeroen Bakker
+ * Monique Dewanchand
+ */
+
+#include "COM_FastGaussianBlurOperation.h"
+#include "MEM_guardedalloc.h"
+#include "BLI_utildefines.h"
+
+FastGaussianBlurOperation::FastGaussianBlurOperation(): BlurBaseOperation(){
+ this->iirgaus = false;
+}
+
+void FastGaussianBlurOperation::executePixel(float *color,int x, int y, MemoryBuffer *inputBuffers[], void *data) {
+ MemoryBuffer *newData = (MemoryBuffer*)data;
+
+ newData->read(color, x, y);
+}
+
+bool FastGaussianBlurOperation::determineDependingAreaOfInterest(rcti *input, ReadBufferOperation *readOperation, rcti *output){
+ rcti newInput;
+ rcti sizeInput;
+ sizeInput.xmin = 0;
+ sizeInput.ymin = 0;
+ sizeInput.xmax = 5;
+ sizeInput.ymax = 5;
+
+ NodeOperation * operation = this->getInputOperation(1);
+ if (operation->determineDependingAreaOfInterest(&sizeInput, readOperation, output)) {
+ return true;
+ }else {
+ if(this->iirgaus){
+ newInput.xmax = input->xmax + (sx);
+ newInput.xmin = input->xmin - (sx);
+ newInput.ymax = input->ymax + (sy);
+ newInput.ymin = input->ymin - (sy);
+ }else {
+ newInput.xmin = 0;
+ newInput.ymin = 0;
+ newInput.xmax = this->getWidth();
+ newInput.ymax = this->getHeight();
+ }
+ return NodeOperation::determineDependingAreaOfInterest(&newInput, readOperation, output);
+ }
+}
+
+void* FastGaussianBlurOperation::initializeTileData(rcti *rect, MemoryBuffer **memoryBuffers){
+ MemoryBuffer *newBuf = (MemoryBuffer*)this->inputProgram->initializeTileData(rect, memoryBuffers);
+ MemoryBuffer *copy = newBuf->duplicate();
+ updateSize(memoryBuffers);
+
+ int c;
+ sx = data->sizex * this->size/2.0f;
+ sy = data->sizey * this->size/2.0f;
+ this->iirgaus = true;
+
+ if ((sx == sy) && (sx > 0.f)) {
+ for (c=0; c<COM_NUMBER_OF_CHANNELS; ++c)
+ IIR_gauss(copy, sx, c, 3);
+ }
+ else {
+ if (sx > 0.f) {
+ for (c=0; c<COM_NUMBER_OF_CHANNELS; ++c)
+ IIR_gauss(copy, sx, c, 1);
+ }
+ if (sy > 0.f) {
+ for (c=0; c<COM_NUMBER_OF_CHANNELS; ++c)
+ IIR_gauss(copy, sy, c, 2);
+ }
+ }
+ return copy;
+}
+
+void FastGaussianBlurOperation::deinitializeTileData(rcti *rect, MemoryBuffer **memoryBuffers, void *data){
+ MemoryBuffer *newData = (MemoryBuffer*)data;
+ delete newData;
+}
+
+void FastGaussianBlurOperation::IIR_gauss(MemoryBuffer *src, float sigma, int chan, int xy) {
+ double q, q2, sc, cf[4], tsM[9], tsu[3], tsv[3];
+ double *X, *Y, *W;
+ int i, x, y, sz;
+ float *buffer = src->getBuffer();
+
+ // <0.5 not valid, though can have a possibly useful sort of sharpening effect
+ if (sigma < 0.5f) return;
+
+ if ((xy < 1) || (xy > 3)) xy = 3;
+
+ // XXX The YVV macro defined below explicitly expects sources of at least 3x3 pixels,
+ // so just skiping blur along faulty direction if src's def is below that limit!
+ if (src->getWidth() < 3) xy &= ~(int) 1;
+ if (src->getHeight() < 3) xy &= ~(int) 2;
+ if (xy < 1) return;
+
+ // see "Recursive Gabor Filtering" by Young/VanVliet
+ // all factors here in double.prec. Required, because for single.prec it seems to blow up if sigma > ~200
+ if (sigma >= 3.556f)
+ q = 0.9804f*(sigma - 3.556f) + 2.5091f;
+ else // sigma >= 0.5
+ q = (0.0561f*sigma + 0.5784f)*sigma - 0.2568f;
+ q2 = q*q;
+ sc = (1.1668 + q)*(3.203729649 + (2.21566 + q)*q);
+ // no gabor filtering here, so no complex multiplies, just the regular coefs.
+ // all negated here, so as not to have to recalc Triggs/Sdika matrix
+ cf[1] = q*(5.788961737 + (6.76492 + 3.0*q)*q)/ sc;
+ cf[2] = -q2*(3.38246 + 3.0*q)/sc;
+ // 0 & 3 unchanged
+ cf[3] = q2*q/sc;
+ cf[0] = 1.0 - cf[1] - cf[2] - cf[3];
+
+ // Triggs/Sdika border corrections,
+ // it seems to work, not entirely sure if it is actually totally correct,
+ // Besides J.M.Geusebroek's anigauss.c (see http://www.science.uva.nl/~mark),
+ // found one other implementation by Cristoph Lampert,
+ // but neither seem to be quite the same, result seems to be ok so far anyway.
+ // Extra scale factor here to not have to do it in filter,
+ // though maybe this had something to with the precision errors
+ sc = cf[0]/((1.0 + cf[1] - cf[2] + cf[3])*(1.0 - cf[1] - cf[2] - cf[3])*(1.0 + cf[2] + (cf[1] - cf[3])*cf[3]));
+ tsM[0] = sc*(-cf[3]*cf[1] + 1.0 - cf[3]*cf[3] - cf[2]);
+ tsM[1] = sc*((cf[3] + cf[1])*(cf[2] + cf[3]*cf[1]));
+ tsM[2] = sc*(cf[3]*(cf[1] + cf[3]*cf[2]));
+ tsM[3] = sc*(cf[1] + cf[3]*cf[2]);
+ tsM[4] = sc*(-(cf[2] - 1.0)*(cf[2] + cf[3]*cf[1]));
+ tsM[5] = sc*(-(cf[3]*cf[1] + cf[3]*cf[3] + cf[2] - 1.0)*cf[3]);
+ tsM[6] = sc*(cf[3]*cf[1] + cf[2] + cf[1]*cf[1] - cf[2]*cf[2]);
+ tsM[7] = sc*(cf[1]*cf[2] + cf[3]*cf[2]*cf[2] - cf[1]*cf[3]*cf[3] - cf[3]*cf[3]*cf[3] - cf[3]*cf[2] + cf[3]);
+ tsM[8] = sc*(cf[3]*(cf[1] + cf[3]*cf[2]));
+
+#define YVV(L) \
+{ \
+W[0] = cf[0]*X[0] + cf[1]*X[0] + cf[2]*X[0] + cf[3]*X[0]; \
+W[1] = cf[0]*X[1] + cf[1]*W[0] + cf[2]*X[0] + cf[3]*X[0]; \
+W[2] = cf[0]*X[2] + cf[1]*W[1] + cf[2]*W[0] + cf[3]*X[0]; \
+for (i=3; i<L; i++) \
+W[i] = cf[0]*X[i] + cf[1]*W[i-1] + cf[2]*W[i-2] + cf[3]*W[i-3]; \
+tsu[0] = W[L-1] - X[L-1]; \
+tsu[1] = W[L-2] - X[L-1]; \
+tsu[2] = W[L-3] - X[L-1]; \
+tsv[0] = tsM[0]*tsu[0] + tsM[1]*tsu[1] + tsM[2]*tsu[2] + X[L-1]; \
+tsv[1] = tsM[3]*tsu[0] + tsM[4]*tsu[1] + tsM[5]*tsu[2] + X[L-1]; \
+tsv[2] = tsM[6]*tsu[0] + tsM[7]*tsu[1] + tsM[8]*tsu[2] + X[L-1]; \
+Y[L-1] = cf[0]*W[L-1] + cf[1]*tsv[0] + cf[2]*tsv[1] + cf[3]*tsv[2]; \
+Y[L-2] = cf[0]*W[L-2] + cf[1]*Y[L-1] + cf[2]*tsv[0] + cf[3]*tsv[1]; \
+Y[L-3] = cf[0]*W[L-3] + cf[1]*Y[L-2] + cf[2]*Y[L-1] + cf[3]*tsv[0]; \
+for (i=L-4; i>=0; i--) \
+Y[i] = cf[0]*W[i] + cf[1]*Y[i+1] + cf[2]*Y[i+2] + cf[3]*Y[i+3]; \
+}
+
+ // intermediate buffers
+ sz = MAX2(src->getWidth(), src->getHeight());
+ X = (double*)MEM_callocN(sz*sizeof(double), "IIR_gauss X buf");
+ Y = (double*)MEM_callocN(sz*sizeof(double), "IIR_gauss Y buf");
+ W = (double*)MEM_callocN(sz*sizeof(double), "IIR_gauss W buf");
+ if (xy & 1) { // H
+ for (y=0; y<src->getHeight(); ++y) {
+ const int yx = y*src->getWidth();
+ for (x=0; x<src->getWidth(); ++x)
+ X[x] = buffer[(x + yx)*COM_NUMBER_OF_CHANNELS + chan];
+ YVV(src->getWidth());
+ for (x=0; x<src->getWidth(); ++x)
+ buffer[(x + yx)*COM_NUMBER_OF_CHANNELS + chan] = Y[x];
+ }
+ }
+ if (xy & 2) { // V
+ for (x=0; x<src->getWidth(); ++x) {
+ for (y=0; y<src->getHeight(); ++y)
+ X[y] = buffer[(x + y*src->getWidth())*COM_NUMBER_OF_CHANNELS + chan];
+ YVV(src->getHeight());
+ for (y=0; y<src->getHeight(); ++y)
+ buffer[(x + y*src->getWidth())*COM_NUMBER_OF_CHANNELS + chan] = Y[y];
+ }
+ }
+
+ MEM_freeN(X);
+ MEM_freeN(W);
+ MEM_freeN(Y);
+#undef YVV
+
+}