/* * 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_ConvolutionFilterOperation.h" #include "BLI_utildefines.h" #include "MEM_guardedalloc.h" ConvolutionFilterOperation::ConvolutionFilterOperation() : NodeOperation() { this->addInputSocket(COM_DT_COLOR); this->addInputSocket(COM_DT_VALUE); this->addOutputSocket(COM_DT_COLOR); this->setResolutionInputSocketIndex(0); this->m_inputOperation = NULL; this->m_filter = NULL; this->setComplex(true); } void ConvolutionFilterOperation::initExecution() { this->m_inputOperation = this->getInputSocketReader(0); this->m_inputValueOperation = this->getInputSocketReader(1); } void ConvolutionFilterOperation::set3x3Filter(float f1, float f2, float f3, float f4, float f5, float f6, float f7, float f8, float f9) { this->m_filter = (float *)MEM_mallocN(sizeof(float) * 9, __func__); this->m_filter[0] = f1; this->m_filter[1] = f2; this->m_filter[2] = f3; this->m_filter[3] = f4; this->m_filter[4] = f5; this->m_filter[5] = f6; this->m_filter[6] = f7; this->m_filter[7] = f8; this->m_filter[8] = f9; this->m_filterHeight = 3; this->m_filterWidth = 3; } void ConvolutionFilterOperation::deinitExecution() { this->m_inputOperation = NULL; this->m_inputValueOperation = NULL; if (this->m_filter) { MEM_freeN(this->m_filter); this->m_filter = NULL; } } void ConvolutionFilterOperation::executePixel(float output[4], int x, int y, void *data) { float in1[4]; float in2[4]; int x1 = x - 1; int x2 = x; int x3 = x + 1; int y1 = y - 1; int y2 = y; int y3 = y + 1; CLAMP(x1, 0, getWidth() - 1); CLAMP(x2, 0, getWidth() - 1); CLAMP(x3, 0, getWidth() - 1); CLAMP(y1, 0, getHeight() - 1); CLAMP(y2, 0, getHeight() - 1); CLAMP(y3, 0, getHeight() - 1); float value[4]; this->m_inputValueOperation->read(value, x2, y2, NULL); const float mval = 1.0f - value[0]; zero_v4(output); this->m_inputOperation->read(in1, x1, y1, NULL); madd_v4_v4fl(output, in1, this->m_filter[0]); this->m_inputOperation->read(in1, x2, y1, NULL); madd_v4_v4fl(output, in1, this->m_filter[1]); this->m_inputOperation->read(in1, x3, y1, NULL); madd_v4_v4fl(output, in1, this->m_filter[2]); this->m_inputOperation->read(in1, x1, y2, NULL); madd_v4_v4fl(output, in1, this->m_filter[3]); this->m_inputOperation->read(in2, x2, y2, NULL); madd_v4_v4fl(output, in2, this->m_filter[4]); this->m_inputOperation->read(in1, x3, y2, NULL); madd_v4_v4fl(output, in1, this->m_filter[5]); this->m_inputOperation->read(in1, x1, y3, NULL); madd_v4_v4fl(output, in1, this->m_filter[6]); this->m_inputOperation->read(in1, x2, y3, NULL); madd_v4_v4fl(output, in1, this->m_filter[7]); this->m_inputOperation->read(in1, x3, y3, NULL); madd_v4_v4fl(output, in1, this->m_filter[8]); output[0] = output[0] * value[0] + in2[0] * mval; output[1] = output[1] * value[0] + in2[1] * mval; output[2] = output[2] * value[0] + in2[2] * mval; output[3] = output[3] * value[0] + in2[3] * mval; } bool ConvolutionFilterOperation::determineDependingAreaOfInterest(rcti *input, ReadBufferOperation *readOperation, rcti *output) { rcti newInput; int addx = (this->m_filterWidth - 1) / 2 + 1; int addy = (this->m_filterHeight - 1) / 2 + 1; 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); }