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blender-archive/source/blender/compositor/operations/COM_GaussianBokehBlurOperation.cpp
Campbell Barton 3316853323 Cleanup: conform headers to have license first
Also remove doxy comments for licenses and add missing GPL header.
2019-02-18 08:22:11 +11:00

353 lines
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C++

/*
* 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.
*
* Copyright 2011, Blender Foundation.
*/
#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;
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;
CLAMP(radxf, 0.0f, width / 2.0f);
/* vertical */
radyf = this->m_size * (float)this->m_data.sizey;
CLAMP(radyf, 0.0f, height / 2.0f);
this->m_radx = ceil(radxf);
this->m_rady = ceil(radyf);
int ddwidth = 2 * this->m_radx + 1;
int ddheight = 2 * this->m_rady + 1;
n = ddwidth * ddheight;
/* create a full filter image */
ddgauss = (float *)MEM_mallocN(sizeof(float) * n, __func__);
dgauss = ddgauss;
float sum = 0.0f;
float facx = (radxf > 0.0f ? 1.0f / radxf : 0.0f);
float facy = (radyf > 0.0f ? 1.0f / radyf : 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 * facy;
float fi = (float)i * facx;
float dist = sqrt(fj * fj + fi * fi);
*dgauss = RE_filter_value(this->m_data.filtertype, dist);
sum += *dgauss;
}
}
if (sum > 0.0f) {
/* normalize */
float norm = 1.0f / sum;
for (j = n - 1; j >= 0; j--)
ddgauss[j] *= norm;
}
else {
int center = m_rady * ddwidth + m_radx;
ddgauss[center] = 1.0f;
}
this->m_gausstab = ddgauss;
}
}
void GaussianBokehBlurOperation::executePixel(float output[4], 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;
rcti &rect = *inputBuffer->getRect();
int ymin = max_ii(y - this->m_rady, rect.ymin);
int ymax = min_ii(y + this->m_rady + 1, rect.ymax);
int xmin = max_ii(x - this->m_radx, rect.xmin);
int xmax = min_ii(x + this->m_radx + 1, rect.xmax);
int index;
int step = QualityStepHelper::getStep();
int offsetadd = QualityStepHelper::getOffsetAdd();
const int addConst = (xmin - x + this->m_radx);
const int mulConst = (this->m_radx * 2 + 1);
for (int ny = ymin; ny < ymax; ny += step) {
index = ((ny - y) + this->m_rady) * mulConst + addConst;
int bufferindex = ((xmin - bufferstartx) * 4) + ((ny - bufferstarty) * 4 * bufferwidth);
for (int nx = xmin; nx < xmax; 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(output, tempColor, 1.0f / multiplier_accum);
}
void GaussianBokehBlurOperation::deinitExecution()
{
BlurBaseOperation::deinitExecution();
if (this->m_gausstab) {
MEM_freeN(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_filtersizex = (float)this->m_data.sizex;
int imgx = getWidth() / 2;
if (m_filtersizex > imgx)
m_filtersizex = imgx;
else if (m_filtersizex < 1)
m_filtersizex = 1;
m_radx = (float)m_filtersizex;
/* vertical */
m_filtersizey = (float)this->m_data.sizey;
int imgy = getHeight() / 2;
if (m_filtersizey > imgy)
m_filtersizey = imgy;
else if (m_filtersizey < 1)
m_filtersizey = 1;
m_rady = (float)m_filtersizey;
updateGauss();
}
void GaussianBlurReferenceOperation::updateGauss()
{
int i;
int x = max(m_filtersizex, m_filtersizey);
m_maintabs = (float **)MEM_mallocN(x * sizeof(float *), "gauss array");
for (i = 0; i < x; i++) {
m_maintabs[i] = make_gausstab(i + 1, i + 1);
}
}
void GaussianBlurReferenceOperation::executePixel(float output[4], 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;
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_radx);
int refrady = (int)(refSize * m_rady);
if (refradx > m_filtersizex) refradx = m_filtersizex;
else if (refradx < 1) refradx = 1;
if (refrady > m_filtersizey) refrady = m_filtersizey;
else if (refrady < 1) refrady = 1;
if (refradx == 1 && refrady == 1) {
memorybuffer->readNoCheck(output, 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_NUM_CHANNELS_COLOR * ( (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_NUM_CHANNELS_COLOR * imgx) {
src = srcd;
for (j = minxr; j < maxxr; j++, src += COM_NUM_CHANNELS_COLOR) {
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;
output[0] = rval * sum;
output[1] = gval * sum;
output[2] = bval * sum;
output[3] = aval * sum;
}
}
void GaussianBlurReferenceOperation::deinitExecution()
{
int x, i;
x = max(this->m_filtersizex, this->m_filtersizey);
for (i = 0; i < x; i++) {
MEM_freeN(this->m_maintabs[i]);
}
MEM_freeN(this->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);
}
}