/* * 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_GaussianBokehBlurOperation.h" #include "BLI_math.h" #include "MEM_guardedalloc.h" extern "C" { #include "RE_pipeline.h" } GaussianBokehBlurOperation::GaussianBokehBlurOperation() : BlurBaseOperation(COM_DT_COLOR) { this->m_gausstab = NULL; } void *GaussianBokehBlurOperation::initializeTileData(rcti *rect) { lockMutex(); if (!this->m_sizeavailable) { updateGauss(); } void *buffer = getInputOperation(0)->initializeTileData(NULL); unlockMutex(); return buffer; } void GaussianBokehBlurOperation::initExecution() { BlurBaseOperation::initExecution(); initMutex(); if (this->m_sizeavailable) { updateGauss(); } } void GaussianBokehBlurOperation::updateGauss() { if (this->m_gausstab == NULL) { float radxf; float radyf; int n; float *dgauss; float *ddgauss; float val; int j, i; const float width = this->getWidth(); const float height = this->getHeight(); if (!this->m_sizeavailable) { updateSize(); } radxf = this->m_size * (float)this->m_data->sizex; if (radxf > width / 2.0f) radxf = width / 2.0f; else if (radxf < 1.0f) radxf = 1.0f; /* vertical */ radyf = this->m_size * (float)this->m_data->sizey; if (radyf > height / 2.0f) radyf = height / 2.0f; else if (radyf < 1.0f) radyf = 1.0f; this->m_radx = ceil(radxf); this->m_rady = ceil(radyf); n = (2 * this->m_radx + 1) * (2 * this->m_rady + 1); /* create a full filter image */ ddgauss = new float[n]; dgauss = ddgauss; val = 0.0f; for (j = -this->m_rady; j <= this->m_rady; j++) { for (i = -this->m_radx; i <= this->m_radx; i++, dgauss++) { float fj = (float)j / radyf; float fi = (float)i / radxf; float dist = sqrt(fj * fj + fi * fi); *dgauss = RE_filter_value(this->m_data->filtertype, dist); val += *dgauss; } } if (val != 0.0f) { val = 1.0f / val; for (j = n - 1; j >= 0; j--) ddgauss[j] *= val; } else ddgauss[4] = 1.0f; this->m_gausstab = ddgauss; } } void GaussianBokehBlurOperation::executePixel(float *color, int x, int y, void *data) { float tempColor[4]; tempColor[0] = 0; tempColor[1] = 0; tempColor[2] = 0; tempColor[3] = 0; float multiplier_accum = 0; MemoryBuffer *inputBuffer = (MemoryBuffer *)data; float *buffer = inputBuffer->getBuffer(); int bufferwidth = inputBuffer->getWidth(); int bufferstartx = inputBuffer->getRect()->xmin; int bufferstarty = inputBuffer->getRect()->ymin; int miny = y - this->m_rady; int maxy = y + this->m_rady; int minx = x - this->m_radx; int maxx = x + this->m_radx; miny = max(miny, inputBuffer->getRect()->ymin); minx = max(minx, inputBuffer->getRect()->xmin); maxy = min(maxy, inputBuffer->getRect()->ymax); maxx = min(maxx, inputBuffer->getRect()->xmax); int index; int step = QualityStepHelper::getStep(); int offsetadd = QualityStepHelper::getOffsetAdd(); const int addConst = (minx - x + this->m_radx); const int mulConst = (this->m_radx * 2 + 1); for (int ny = miny; ny < maxy; ny += step) { index = ((ny - y) + this->m_rady) * mulConst + addConst; int bufferindex = ((minx - bufferstartx) * 4) + ((ny - bufferstarty) * 4 * bufferwidth); for (int nx = minx; nx < maxx; nx += step) { const float multiplier = this->m_gausstab[index]; madd_v4_v4fl(tempColor, &buffer[bufferindex], multiplier); multiplier_accum += multiplier; index += step; bufferindex += offsetadd; } } mul_v4_v4fl(color, tempColor, 1.0f / multiplier_accum); } void GaussianBokehBlurOperation::deinitExecution() { BlurBaseOperation::deinitExecution(); delete [] this->m_gausstab; this->m_gausstab = NULL; deinitMutex(); } bool GaussianBokehBlurOperation::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->m_sizeavailable && this->m_gausstab != NULL) { newInput.xmin = 0; newInput.ymin = 0; newInput.xmax = this->getWidth(); newInput.ymax = this->getHeight(); } else { int addx = this->m_radx; int addy = this->m_rady; newInput.xmax = input->xmax + addx; newInput.xmin = input->xmin - addx; newInput.ymax = input->ymax + addy; newInput.ymin = input->ymin - addy; } return BlurBaseOperation::determineDependingAreaOfInterest(&newInput, readOperation, output); } } // reference image GaussianBlurReferenceOperation::GaussianBlurReferenceOperation() : BlurBaseOperation(COM_DT_COLOR) { this->m_maintabs = NULL; } void *GaussianBlurReferenceOperation::initializeTileData(rcti *rect) { void *buffer = getInputOperation(0)->initializeTileData(NULL); return buffer; } void GaussianBlurReferenceOperation::initExecution() { BlurBaseOperation::initExecution(); // setup gaustab this->m_data->image_in_width = this->getWidth(); this->m_data->image_in_height = this->getHeight(); if (this->m_data->relative) { switch (this->m_data->aspect) { case CMP_NODE_BLUR_ASPECT_NONE: this->m_data->sizex = (int)(this->m_data->percentx * 0.01f * this->m_data->image_in_width); this->m_data->sizey = (int)(this->m_data->percenty * 0.01f * this->m_data->image_in_height); break; case CMP_NODE_BLUR_ASPECT_Y: this->m_data->sizex = (int)(this->m_data->percentx * 0.01f * this->m_data->image_in_width); this->m_data->sizey = (int)(this->m_data->percenty * 0.01f * this->m_data->image_in_width); break; case CMP_NODE_BLUR_ASPECT_X: this->m_data->sizex = (int)(this->m_data->percentx * 0.01f * this->m_data->image_in_height); this->m_data->sizey = (int)(this->m_data->percenty * 0.01f * this->m_data->image_in_height); break; } } /* horizontal */ m_radx = (float)this->m_data->sizex; int imgx = getWidth()/2; if (m_radx > imgx) m_radx = imgx; else if (m_radx < 1) m_radx = 1; m_radxf = (float)m_radx; /* vertical */ m_rady = (float)this->m_data->sizey; int imgy = getHeight()/2; if (m_rady > imgy) m_rady = imgy; else if (m_rady < 1) m_rady = 1; m_radyf = (float)m_rady; updateGauss(); } void GaussianBlurReferenceOperation::updateGauss() { int i; int x = MAX2(m_radx, m_rady); this->m_maintabs = (float **)MEM_mallocN(x * sizeof(float *), "gauss array"); for (i = 0; i < x; i++) m_maintabs[i] = make_gausstab(i + 1); } void GaussianBlurReferenceOperation::executePixel(float *color, int x, int y, void *data) { MemoryBuffer *memorybuffer = (MemoryBuffer *)data; float *buffer = memorybuffer->getBuffer(); float *gausstabx, *gausstabcenty; float *gausstaby, *gausstabcentx; int i, j; float *src; register float sum, val; float rval, gval, bval, aval; int imgx = getWidth(); int imgy = getHeight(); float tempSize[4]; this->m_inputSize->read(tempSize, x, y, data); float refSize = tempSize[0]; int refradx = (int)(refSize * m_radxf); int refrady = (int)(refSize * m_radyf); if (refradx > m_radx) refradx = m_radx; else if (refradx < 1) refradx = 1; if (refrady > m_rady) refrady = m_rady; else if (refrady < 1) refrady = 1; if (refradx == 1 && refrady == 1) { memorybuffer->readNoCheck(color, x, y); } else { int minxr = x - refradx < 0 ? -x : -refradx; int maxxr = x + refradx > imgx ? imgx - x : refradx; int minyr = y - refrady < 0 ? -y : -refrady; int maxyr = y + refrady > imgy ? imgy - y : refrady; float *srcd = buffer + COM_NUMBER_OF_CHANNELS * ( (y + minyr) * imgx + x + minxr); gausstabx = m_maintabs[refradx - 1]; gausstabcentx = gausstabx + refradx; gausstaby = m_maintabs[refrady - 1]; gausstabcenty = gausstaby + refrady; sum = gval = rval = bval = aval = 0.0f; for (i = minyr; i < maxyr; i++, srcd += COM_NUMBER_OF_CHANNELS * imgx) { src = srcd; for (j = minxr; j < maxxr; j++, src += COM_NUMBER_OF_CHANNELS) { val = gausstabcenty[i] * gausstabcentx[j]; sum += val; rval += val * src[0]; gval += val * src[1]; bval += val * src[2]; aval += val * src[3]; } } sum = 1.0f / sum; color[0] = rval * sum; color[1] = gval * sum; color[2] = bval * sum; color[3] = aval * sum; } } void GaussianBlurReferenceOperation::deinitExecution() { int x, i; x = MAX2(m_radx, m_rady); for (i = 0; i < x; i++) delete []m_maintabs[i]; MEM_freeN(m_maintabs); BlurBaseOperation::deinitExecution(); } bool GaussianBlurReferenceOperation::determineDependingAreaOfInterest(rcti *input, ReadBufferOperation *readOperation, rcti *output) { rcti newInput; NodeOperation *operation = this->getInputOperation(1); if (operation->determineDependingAreaOfInterest(input, readOperation, output)) { return true; } else { int addx = this->m_data->sizex+2; int addy = this->m_data->sizey+2; newInput.xmax = input->xmax + addx; newInput.xmin = input->xmin - addx; newInput.ymax = input->ymax + addy; newInput.ymin = input->ymin - addy; return NodeOperation::determineDependingAreaOfInterest(&newInput, readOperation, output); } }