8b2eac9a3d
The pipette part is already working quite nice but need to be finished. The widgets part needs more work...
803 lines
23 KiB
C++
803 lines
23 KiB
C++
/*
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* This file is part of RawTherapee.
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*
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* Copyright © 2010 Emil Martinec <ejmartin@uchicago.edu>
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*
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* RawTherapee is free software: you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation, either version 3 of the License, or
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* (at your option) any later version.
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*
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* RawTherapee is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with RawTherapee. If not, see <http://www.gnu.org/licenses/>.
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*/
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#ifndef _BOXBLUR_H_
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#define _BOXBLUR_H_
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#include <stdlib.h>
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#include <string.h>
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#include <math.h>
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#include "alignedbuffer.h"
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#ifdef _OPENMP
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#include <omp.h>
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#endif
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#include "rt_math.h"
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#ifdef __SSE2__
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#include "sleefsseavx.c"
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#endif
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//using namespace rtengine;
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namespace rtengine {
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// classical filtering if the support window is small:
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template<class T, class A> void boxblur (T** src, A** dst, int radx, int rady, int W, int H) {
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//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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//box blur image; box range = (radx,rady)
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AlignedBuffer<float>* buffer = new AlignedBuffer<float> (W*H);
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float* temp = buffer->data;
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if (radx==0) {
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#ifdef _OPENMP
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#pragma omp parallel for
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#endif
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for (int row=0; row<H; row++)
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for (int col=0; col<W; col++) {
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temp[row*W+col] = (float)src[row][col];
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}
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} else {
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//horizontal blur
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#ifdef _OPENMP
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#pragma omp parallel for
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#endif
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for (int row = 0; row < H; row++) {
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int len = radx + 1;
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temp[row*W+0] = (float)src[row][0]/len;
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for (int j=1; j<=radx; j++) {
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temp[row*W+0] += (float)src[row][j]/len;
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}
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for (int col=1; col<=radx; col++) {
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temp[row*W+col] = (temp[row*W+col-1]*len + (float)src[row][col+radx])/(len+1);
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len ++;
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}
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for (int col = radx+1; col < W-radx; col++) {
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temp[row*W+col] = temp[row*W+col-1] + ((float)(src[row][col+radx] - src[row][col-radx-1]))/len;
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}
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for (int col=W-radx; col<W; col++) {
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temp[row*W+col] = (temp[row*W+col-1]*len - src[row][col-radx-1])/(len-1);
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len --;
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}
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}
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}
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if (rady==0) {
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#ifdef _OPENMP
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#pragma omp parallel for
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#endif
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for (int row=0; row<H; row++)
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for (int col=0; col<W; col++) {
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dst[row][col] = temp[row*W+col];
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}
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} else {
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//vertical blur
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#ifdef _OPENMP
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#pragma omp parallel for
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#endif
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for (int col = 0; col < W; col++) {
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int len = rady + 1;
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dst[0][col] = temp[0*W+col]/len;
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for (int i=1; i<=rady; i++) {
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dst[0][col] += temp[i*W+col]/len;
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}
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for (int row=1; row<=rady; row++) {
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dst[row][col] = (dst[(row-1)][col]*len + temp[(row+rady)*W+col])/(len+1);
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len ++;
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}
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for (int row = rady+1; row < H-rady; row++) {
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dst[row][col] = dst[(row-1)][col] + (temp[(row+rady)*W+col] - temp[(row-rady-1)*W+col])/len;
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}
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for (int row=H-rady; row<H; row++) {
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dst[row][col] = (dst[(row-1)][col]*len - temp[(row-rady-1)*W+col])/(len-1);
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len --;
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}
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}
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}
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delete buffer;
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}
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//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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#if defined( __SSE2__ ) && defined( WIN32 )
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template<class T, class A> __attribute__((force_align_arg_pointer)) void boxblur (T* src, A* dst, int radx, int rady, int W, int H) {
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#else
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template<class T, class A> void boxblur (T* src, A* dst, int radx, int rady, int W, int H) {
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#endif
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//printf("boxblur\n");
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//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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//box blur image; box range = (radx,rady) i.e. box size is (2*radx+1)x(2*rady+1)
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AlignedBuffer<float>* buffer = new AlignedBuffer<float> (W*H);
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float* temp = buffer->data;
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if (radx==0) {
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for (int row=0; row<H; row++)
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for (int col=0; col<W; col++) {
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temp[row*W+col] = src[row*W+col];
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}
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} else {
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//horizontal blur
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#ifdef _OPENMP
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#pragma omp parallel for
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#endif
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for (int row = 0; row < H; row++) {
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int len = radx + 1;
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temp[row*W+0] = (float)src[row*W+0];
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for (int j=1; j<=radx; j++) {
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temp[row*W+0] += (float)src[row*W+j];
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}
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temp[row*W+0] = temp[row*W+0]/len;
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for (int col=1; col<=radx; col++) {
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temp[row*W+col] = (temp[row*W+col-1]*len + src[row*W+col+radx])/(len+1);
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len ++;
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}
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for (int col = radx+1; col < W-radx; col++) {
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temp[row*W+col] = temp[row*W+col-1] + ((float)(src[row*W+col+radx] - src[row*W+col-radx-1]))/len;
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}
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for (int col=W-radx; col<W; col++) {
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temp[row*W+col] = (temp[row*W+col-1]*len - src[row*W+col-radx-1])/(len-1);
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len --;
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}
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}
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}
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if (rady==0) {
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#ifdef _OPENMP
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#pragma omp parallel for
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#endif
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for (int row=0; row<H; row++)
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for (int col=0; col<W; col++) {
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dst[row*W+col] = temp[row*W+col];
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}
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} else {
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//vertical blur
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#ifdef __SSE2__
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__m128 leninitv = _mm_set1_ps( (float)(rady+1));
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__m128 onev = _mm_set1_ps( 1.0f );
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__m128 tempv,lenv,lenp1v,lenm1v;
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for (int col = 0; col < W-3; col+=4) {
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lenv = leninitv;
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tempv = LVFU(temp[0*W+col]);
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for (int i=1; i<=rady; i++) {
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tempv = tempv + LVFU(temp[i*W+col]);
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}
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_mm_storeu_ps( &dst[0*W+col], tempv / lenv );
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for (int row=1; row<=rady; row++) {
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lenp1v = lenv + onev;
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_mm_storeu_ps( &dst[row*W+col], (LVFU(dst[(row-1)*W+col])*lenv + LVFU(temp[(row+rady)*W+col]))/lenp1v);
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lenv = lenp1v;
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}
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for (int row = rady+1; row < H-rady; row++) {
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_mm_storeu_ps( &dst[row*W+col], LVFU(dst[(row-1)*W+col]) +(LVFU(temp[(row+rady)*W+col])-LVFU(temp[(row-rady-1)*W+col]))/lenv );
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}
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for (int row=H-rady; row<H; row++) {
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lenm1v = lenv - onev;
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_mm_storeu_ps( &dst[row*W+col], (LVFU(dst[(row-1)*W+col])*lenv - LVFU(temp[(row-rady-1)*W+col]))/lenm1v);
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lenv = lenm1v;
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}
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}
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for (int col = W-(W%4); col < W; col++) {
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int len = rady + 1;
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dst[0*W+col] = temp[0*W+col]/len;
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for (int i=1; i<=rady; i++) {
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dst[0*W+col] += temp[i*W+col]/len;
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}
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for (int row=1; row<=rady; row++) {
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dst[row*W+col] = (dst[(row-1)*W+col]*len + temp[(row+rady)*W+col])/(len+1);
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len ++;
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}
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for (int row = rady+1; row < H-rady; row++) {
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dst[row*W+col] = dst[(row-1)*W+col] + (temp[(row+rady)*W+col] - temp[(row-rady-1)*W+col])/len;
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}
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for (int row=H-rady; row<H; row++) {
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dst[row*W+col] = (dst[(row-1)*W+col]*len - temp[(row-rady-1)*W+col])/(len-1);
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len --;
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}
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}
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#else
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#ifdef _OPENMP
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#pragma omp parallel for
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#endif
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for (int col = 0; col < W; col++) {
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int len = rady + 1;
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dst[0*W+col] = temp[0*W+col]/len;
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for (int i=1; i<=rady; i++) {
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dst[0*W+col] += temp[i*W+col]/len;
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}
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for (int row=1; row<=rady; row++) {
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dst[row*W+col] = (dst[(row-1)*W+col]*len + temp[(row+rady)*W+col])/(len+1);
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len ++;
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}
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for (int row = rady+1; row < H-rady; row++) {
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dst[row*W+col] = dst[(row-1)*W+col] + (temp[(row+rady)*W+col] - temp[(row-rady-1)*W+col])/len;
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}
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for (int row=H-rady; row<H; row++) {
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dst[row*W+col] = (dst[(row-1)*W+col]*len - temp[(row-rady-1)*W+col])/(len-1);
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len --;
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}
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}
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#endif
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}
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delete buffer;
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}
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//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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template<typename T> void boxvar (T* src, T* dst, int radx, int rady, int W, int H) {
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AlignedBuffer<float> buffer1(W*H);
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AlignedBuffer<float> buffer2(W*H);
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float* tempave = buffer1.data;
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float* tempsqave = buffer2.data;
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AlignedBufferMP<float> buffer3(H);
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//float image_ave = 0;
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//box blur image channel; box size = 2*box+1
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//horizontal blur
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#ifdef _OPENMP
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#pragma omp parallel for
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#endif
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for (int row = 0; row < H; row++) {
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int len = radx + 1;
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tempave[row*W+0] = src[row*W+0]/len;
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tempsqave[row*W+0] = SQR(src[row*W+0])/len;
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for (int j=1; j<=radx; j++) {
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tempave[row*W+0] += src[row*W+j]/len;
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tempsqave[row*W+0] += SQR(src[row*W+j])/len;
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}
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for (int col=1; col<=radx; col++) {
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tempave[row*W+col] = (tempave[row*W+col-1]*len + src[row*W+col+radx])/(len+1);
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tempsqave[row*W+col] = (tempsqave[row*W+col-1]*len + SQR(src[row*W+col+radx]))/(len+1);
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len ++;
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}
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for (int col = radx+1; col < W-radx; col++) {
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tempave[row*W+col] = tempave[row*W+col-1] + (src[row*W+col+radx] - src[row*W+col-radx-1])/len;
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tempsqave[row*W+col] = tempsqave[row*W+col-1] + (SQR(src[row*W+col+radx]) - SQR(src[row*W+col-radx-1]))/len;
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}
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for (int col=W-radx; col<W; col++) {
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tempave[row*W+col] = (tempave[row*W+col-1]*len - src[row*W+col-radx-1])/(len-1);
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tempsqave[row*W+col] = (tempsqave[row*W+col-1]*len - SQR(src[row*W+col-radx-1]))/(len-1);
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len --;
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}
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}
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//vertical blur
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#ifdef _OPENMP
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#pragma omp parallel for
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#endif
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for (int col = 0; col < W; col++) {
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AlignedBuffer<float>* pBuf3 = buffer3.acquire();
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T* tempave2=(T*)pBuf3->data;
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int len = rady + 1;
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tempave2[0] = tempave[0*W+col]/len;
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dst[0*W+col] = tempsqave[0*W+col]/len;
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for (int i=1; i<=rady; i++) {
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tempave2[0] += tempave[i*W+col]/len;
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dst[0*W+col] += tempsqave[i*W+col]/len;
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}
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for (int row=1; row<=rady; row++) {
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tempave2[row] = (tempave2[(row-1)]*len + tempave[(row+rady)*W+col])/(len+1);
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dst[row*W+col] = (dst[(row-1)*W+col]*len + tempsqave[(row+rady)*W+col])/(len+1);
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len ++;
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}
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for (int row = rady+1; row < H-rady; row++) {
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tempave2[row] = tempave2[(row-1)] + (tempave[(row+rady)*W+col] - tempave[(row-rady-1)*W+col])/len;
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dst[row*W+col] = dst[(row-1)*W+col] + (tempsqave[(row+rady)*W+col] - tempsqave[(row-rady-1)*W+col])/len;
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}
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for (int row=H-rady; row<H; row++) {
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tempave2[row] = (tempave2[(row-1)]*len - tempave[(row-rady-1)*W+col])/(len-1);
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dst[row*W+col] = (dst[(row-1)*W+col]*len - tempsqave[(row-rady-1)*W+col])/(len-1);
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len --;
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}
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//now finish off
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for (int row=0; row<H; row++) {
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dst[row*W+col] = fabs(dst[row*W+col] - SQR(tempave2[row]));
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//image_ave += src[row*W+col];
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}
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buffer3.release(pBuf3);
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}
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//image_ave /= (W*H);
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}
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//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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template<typename T> void boxdev (T* src, T* dst, int radx, int rady, int W, int H) {
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//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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//box blur image; box range = (radx,rady) i.e. box size is (2*radx+1)x(2*rady+1)
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AlignedBuffer<float>* buffer1 = new AlignedBuffer<float> (W*H);
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float* temp = buffer1->data;
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AlignedBuffer<float>* buffer2 = new AlignedBuffer<float> (W*H);
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float* tempave = buffer2->data;
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if (radx==0) {
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#ifdef _OPENMP
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#pragma omp parallel for
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#endif
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for (int row=0; row<H; row++)
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for (int col=0; col<W; col++) {
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temp[row*W+col] = src[row*W+col];
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}
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} else {
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//horizontal blur
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#ifdef _OPENMP
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#pragma omp parallel for
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#endif
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for (int row = 0; row < H; row++) {
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int len = radx + 1;
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temp[row*W+0] = (float)src[row*W+0]/len;
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for (int j=1; j<=radx; j++) {
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temp[row*W+0] += (float)src[row*W+j]/len;
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}
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for (int col=1; col<=radx; col++) {
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temp[row*W+col] = (temp[row*W+col-1]*len + src[row*W+col+radx])/(len+1);
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len ++;
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}
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for (int col = radx+1; col < W-radx; col++) {
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temp[row*W+col] = temp[row*W+col-1] + ((float)(src[row*W+col+radx] - src[row*W+col-radx-1]))/len;
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}
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for (int col=W-radx; col<W; col++) {
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temp[row*W+col] = (temp[row*W+col-1]*len - src[row*W+col-radx-1])/(len-1);
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len --;
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}
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}
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}
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if (rady==0) {
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#ifdef _OPENMP
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#pragma omp parallel for
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#endif
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for (int row=0; row<H; row++){
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for (int col=0; col<W; col++) {
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tempave[row*W+col] = temp[row*W+col];
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}
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}
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} else {
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//vertical blur
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#ifdef _OPENMP
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#pragma omp parallel for
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#endif
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for (int col = 0; col < W; col++) {
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int len = rady + 1;
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tempave[0*W+col] = temp[0*W+col]/len;
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for (int i=1; i<=rady; i++) {
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tempave[0*W+col] += temp[i*W+col]/len;
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}
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for (int row=1; row<=rady; row++) {
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tempave[row*W+col] = (tempave[(row-1)*W+col]*len + temp[(row+rady)*W+col])/(len+1);
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len ++;
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}
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for (int row = rady+1; row < H-rady; row++) {
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tempave[row*W+col] = tempave[(row-1)*W+col] + (temp[(row+rady)*W+col] - temp[(row-rady-1)*W+col])/len;
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}
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for (int row=H-rady; row<H; row++) {
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tempave[row*W+col] = (tempave[(row-1)*W+col]*len - temp[(row-rady-1)*W+col])/(len-1);
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len --;
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}
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}
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}
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//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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//box blur absolute deviation
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if (radx==0) {
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#ifdef _OPENMP
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#pragma omp parallel for
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#endif
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for (int row=0; row<H; row++)
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for (int col=0; col<W; col++) {
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temp[row*W+col] = fabs(src[row*W+col]-tempave[row*W+col]);
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}
|
|
} else {
|
|
//horizontal blur
|
|
//OpenMP here
|
|
#ifdef _OPENMP
|
|
#pragma omp parallel for
|
|
#endif
|
|
for (int row = 0; row < H; row++) {
|
|
int len = radx + 1;
|
|
temp[row*W+0] = fabs(src[row*W+0]-tempave[row*W+0])/len;
|
|
for (int j=1; j<=radx; j++) {
|
|
temp[row*W+0] += fabs(src[row*W+j]-tempave[row*W+j])/len;
|
|
}
|
|
for (int col=1; col<=radx; col++) {
|
|
temp[row*W+col] = (temp[row*W+col-1]*len + fabs(src[row*W+col+radx]-tempave[row*W+col+radx]))/(len+1);
|
|
len ++;
|
|
}
|
|
for (int col = radx+1; col < W-radx; col++) {
|
|
temp[row*W+col] = temp[row*W+col-1] + (fabs(src[row*W+col+radx]-tempave[row*W+col+radx]) - \
|
|
fabs(src[row*W+col-radx-1]-tempave[row*W+col-radx-1]))/len;
|
|
}
|
|
for (int col=W-radx; col<W; col++) {
|
|
temp[row*W+col] = (temp[row*W+col-1]*len - fabs(src[row*W+col-radx-1]-tempave[row*W+col-radx-1]))/(len-1);
|
|
len --;
|
|
}
|
|
}
|
|
}
|
|
|
|
if (rady==0) {
|
|
#ifdef _OPENMP
|
|
#pragma omp parallel for
|
|
#endif
|
|
for (int row=0; row<H; row++)
|
|
for (int col=0; col<W; col++) {
|
|
dst[row*W+col] = temp[row*W+col];
|
|
}
|
|
} else {
|
|
//vertical blur
|
|
//OpenMP here
|
|
#ifdef _OPENMP
|
|
#pragma omp parallel for
|
|
#endif
|
|
for (int col = 0; col < W; col++) {
|
|
int len = rady + 1;
|
|
dst[0*W+col] = temp[0*W+col]/len;
|
|
for (int i=1; i<=rady; i++) {
|
|
dst[0*W+col] += temp[i*W+col]/len;
|
|
}
|
|
for (int row=1; row<=rady; row++) {
|
|
dst[row*W+col] = (dst[(row-1)*W+col]*len + temp[(row+rady)*W+col])/(len+1);
|
|
len ++;
|
|
}
|
|
for (int row = rady+1; row < H-rady; row++) {
|
|
dst[row*W+col] = dst[(row-1)*W+col] + (temp[(row+rady)*W+col] - temp[(row-rady-1)*W+col])/len;
|
|
}
|
|
for (int row=H-rady; row<H; row++) {
|
|
dst[row*W+col] = (dst[(row-1)*W+col]*len - temp[(row-rady-1)*W+col])/(len-1);
|
|
len --;
|
|
}
|
|
}
|
|
}
|
|
|
|
delete buffer1;
|
|
delete buffer2;
|
|
|
|
}
|
|
|
|
//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
|
//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
|
|
|
|
|
template<class T, class A> void boxsqblur (T* src, A* dst, int radx, int rady, int W, int H) {
|
|
|
|
//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
|
//box blur image; box range = (radx,rady) i.e. box size is (2*radx+1)x(2*rady+1)
|
|
|
|
AlignedBuffer<float>* buffer = new AlignedBuffer<float> (W*H);
|
|
float* temp = buffer->data;
|
|
|
|
if (radx==0) {
|
|
#ifdef _OPENMP
|
|
#pragma omp parallel for
|
|
#endif
|
|
for (int row=0; row<H; row++)
|
|
for (int col=0; col<W; col++) {
|
|
temp[row*W+col] = SQR(src[row*W+col]);
|
|
}
|
|
} else {
|
|
//horizontal blur
|
|
//OpenMP here
|
|
#ifdef _OPENMP
|
|
#pragma omp parallel for
|
|
#endif
|
|
for (int row = 0; row < H; row++) {
|
|
int len = radx + 1;
|
|
temp[row*W+0] = SQR((float)src[row*W+0])/len;
|
|
for (int j=1; j<=radx; j++) {
|
|
temp[row*W+0] += SQR((float)src[row*W+j])/len;
|
|
}
|
|
for (int col=1; col<=radx; col++) {
|
|
temp[row*W+col] = (temp[row*W+col-1]*len + SQR(src[row*W+col+radx]))/(len+1);
|
|
len ++;
|
|
}
|
|
for (int col = radx+1; col < W-radx; col++) {
|
|
temp[row*W+col] = temp[row*W+col-1] + ((float)(SQR(src[row*W+col+radx]) - SQR(src[row*W+col-radx-1])))/len;
|
|
}
|
|
for (int col=W-radx; col<W; col++) {
|
|
temp[row*W+col] = (temp[row*W+col-1]*len - SQR(src[row*W+col-radx-1]))/(len-1);
|
|
len --;
|
|
}
|
|
}
|
|
}
|
|
|
|
if (rady==0) {
|
|
#ifdef _OPENMP
|
|
#pragma omp parallel for
|
|
#endif
|
|
for (int row=0; row<H; row++)
|
|
for (int col=0; col<W; col++) {
|
|
dst[row*W+col] = temp[row*W+col];
|
|
}
|
|
} else {
|
|
//vertical blur
|
|
//OpenMP here
|
|
#ifdef _OPENMP
|
|
#pragma omp parallel for
|
|
#endif
|
|
for (int col = 0; col < W; col++) {
|
|
int len = rady + 1;
|
|
dst[0*W+col] = temp[0*W+col]/len;
|
|
for (int i=1; i<=rady; i++) {
|
|
dst[0*W+col] += temp[i*W+col]/len;
|
|
}
|
|
for (int row=1; row<=rady; row++) {
|
|
dst[row*W+col] = (dst[(row-1)*W+col]*len + temp[(row+rady)*W+col])/(len+1);
|
|
len ++;
|
|
}
|
|
for (int row = rady+1; row < H-rady; row++) {
|
|
dst[row*W+col] = dst[(row-1)*W+col] + (temp[(row+rady)*W+col] - temp[(row-rady-1)*W+col])/len;
|
|
}
|
|
for (int row=H-rady; row<H; row++) {
|
|
dst[row*W+col] = (dst[(row-1)*W+col]*len - temp[(row-rady-1)*W+col])/(len-1);
|
|
len --;
|
|
}
|
|
}
|
|
}
|
|
|
|
delete buffer;
|
|
|
|
}
|
|
|
|
//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
|
//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
|
|
|
|
|
template<class T, class A> void boxcorrelate (T* src, A* dst, int dx, int dy, int radx, int rady, int W, int H) {
|
|
|
|
//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
|
//box blur image; box range = (radx,rady) i.e. box size is (2*radx+1)x(2*rady+1)
|
|
|
|
AlignedBuffer<float>* buffer = new AlignedBuffer<float> (W*H);
|
|
float* temp = buffer->data;
|
|
|
|
if (radx==0) {
|
|
for (int row=0; row<H; row++) {
|
|
int rr = min(H-1,max(0,row+dy));
|
|
for (int col=0; col<W; col++) {
|
|
int cc = min(W-1,max(0,col+dx));
|
|
temp[row*W+col] = dy>0 ? (src[row*W+col])*(src[rr*W+cc]) : 0;
|
|
}
|
|
}
|
|
} else {
|
|
//horizontal blur
|
|
for (int row = 0; row < H; row++) {
|
|
int len = radx + 1;
|
|
int rr = min(H-1,max(0,row+dy));
|
|
int cc = min(W-1,max(0,0+dx));
|
|
temp[row*W+0] = ((float)src[row*W+0])*(src[rr*W+cc])/len;
|
|
for (int j=1; j<=radx; j++) {
|
|
int cc = min(W-1,max(0,j+dx));
|
|
temp[row*W+0] += ((float)src[row*W+j])*(src[rr*W+cc])/len;
|
|
}
|
|
for (int col=1; col<=radx; col++) {
|
|
int cc = min(W-1,max(0,col+dx+radx));
|
|
temp[row*W+col] = (temp[row*W+col-1]*len + (src[row*W+col+radx])*(src[rr*W+cc]))/(len+1);
|
|
len ++;
|
|
}
|
|
for (int col = radx+1; col < W-radx; col++) {
|
|
int cc = min(W-1,max(0,col+dx+radx));
|
|
int cc1 = min(W-1,max(0,col+dx-radx-1));
|
|
temp[row*W+col] = temp[row*W+col-1] + ((float)((src[row*W+col+radx])*(src[rr*W+cc]) -
|
|
(src[row*W+col-radx-1])*(src[rr*W+cc1])))/len;
|
|
}
|
|
for (int col=W-radx; col<W; col++) {
|
|
int cc1 = min(W-1,max(0,col+dx-radx-1));
|
|
temp[row*W+col] = (temp[row*W+col-1]*len - (src[row*W+col-radx-1])*(src[rr*W+cc1]))/(len-1);
|
|
len --;
|
|
}
|
|
}
|
|
}
|
|
|
|
if (rady==0) {
|
|
#ifdef _OPENMP
|
|
#pragma omp parallel for
|
|
#endif
|
|
for (int row=0; row<H; row++)
|
|
for (int col=0; col<W; col++) {
|
|
dst[row*W+col] = temp[row*W+col];
|
|
}
|
|
} else {
|
|
//vertical blur
|
|
//OpenMP here
|
|
#ifdef _OPENMP
|
|
#pragma omp parallel for
|
|
#endif
|
|
for (int col = 0; col < W; col++) {
|
|
int len = rady + 1;
|
|
dst[0*W+col] = temp[0*W+col]/len;
|
|
for (int i=1; i<=rady; i++) {
|
|
dst[0*W+col] += temp[i*W+col]/len;
|
|
}
|
|
for (int row=1; row<=rady; row++) {
|
|
dst[row*W+col] = (dst[(row-1)*W+col]*len + temp[(row+rady)*W+col])/(len+1);
|
|
len ++;
|
|
}
|
|
for (int row = rady+1; row < H-rady; row++) {
|
|
dst[row*W+col] = dst[(row-1)*W+col] + (temp[(row+rady)*W+col] - temp[(row-rady-1)*W+col])/len;
|
|
}
|
|
for (int row=H-rady; row<H; row++) {
|
|
dst[row*W+col] = (dst[(row-1)*W+col]*len - temp[(row-rady-1)*W+col])/(len-1);
|
|
len --;
|
|
}
|
|
}
|
|
}
|
|
|
|
delete buffer;
|
|
|
|
}
|
|
|
|
|
|
//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
|
//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
|
|
|
#if defined( __SSE2__ ) && defined( WIN32 )
|
|
template<class T, class A> __attribute__((force_align_arg_pointer)) void boxabsblur (T* src, A* dst, int radx, int rady, int W, int H) {
|
|
#else
|
|
template<class T, class A> void boxabsblur (T* src, A* dst, int radx, int rady, int W, int H) {
|
|
#endif
|
|
|
|
//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
|
//box blur image; box range = (radx,rady) i.e. box size is (2*radx+1)x(2*rady+1)
|
|
|
|
AlignedBuffer<float>* buffer = new AlignedBuffer<float> (W*H);
|
|
float* temp = buffer->data;
|
|
|
|
if (radx==0) {
|
|
#ifdef _OPENMP
|
|
#pragma omp parallel for
|
|
#endif
|
|
for (int row=0; row<H; row++)
|
|
for (int col=0; col<W; col++) {
|
|
temp[row*W+col] = fabs(src[row*W+col]);
|
|
}
|
|
} else {
|
|
//horizontal blur
|
|
//OpenMP here
|
|
#ifdef _OPENMP
|
|
#pragma omp parallel for
|
|
#endif
|
|
for (int row = 0; row < H; row++) {
|
|
int len = radx + 1;
|
|
temp[row*W+0] = fabsf((float)src[row*W+0]);
|
|
for (int j=1; j<=radx; j++) {
|
|
temp[row*W+0] += fabsf((float)src[row*W+j]);
|
|
}
|
|
temp[row*W+0] = temp[row*W+0] / len;
|
|
for (int col=1; col<=radx; col++) {
|
|
temp[row*W+col] = (temp[row*W+col-1]*len + fabsf(src[row*W+col+radx]))/(len+1);
|
|
len ++;
|
|
}
|
|
for (int col = radx+1; col < W-radx; col++) {
|
|
temp[row*W+col] = temp[row*W+col-1] + ((float)(fabsf(src[row*W+col+radx]) - fabsf(src[row*W+col-radx-1])))/len;
|
|
}
|
|
for (int col=W-radx; col<W; col++) {
|
|
temp[row*W+col] = (temp[row*W+col-1]*len - fabsf(src[row*W+col-radx-1]))/(len-1);
|
|
len --;
|
|
}
|
|
}
|
|
}
|
|
|
|
if (rady==0) {
|
|
#ifdef _OPENMP
|
|
#pragma omp parallel for
|
|
#endif
|
|
for (int row=0; row<H; row++)
|
|
for (int col=0; col<W; col++) {
|
|
dst[row*W+col] = temp[row*W+col];
|
|
}
|
|
} else {
|
|
//vertical blur
|
|
#ifdef __SSE2__
|
|
__m128 leninitv = _mm_set1_ps( (float)(rady+1));
|
|
__m128 onev = _mm_set1_ps( 1.0f );
|
|
__m128 tempv,lenv,lenp1v,lenm1v;
|
|
for (int col = 0; col < W-3; col+=4) {
|
|
lenv = leninitv;
|
|
tempv = LVFU(temp[0*W+col]);
|
|
for (int i=1; i<=rady; i++) {
|
|
tempv = tempv + LVFU(temp[i*W+col]);
|
|
}
|
|
_mm_storeu_ps( &dst[0*W+col], tempv / lenv );
|
|
for (int row=1; row<=rady; row++) {
|
|
lenp1v = lenv + onev;
|
|
_mm_storeu_ps( &dst[row*W+col],(LVFU(dst[(row-1)*W+col])*lenv + LVFU(temp[(row+rady)*W+col]))/lenp1v );
|
|
lenv = lenp1v;
|
|
}
|
|
for (int row = rady+1; row < H-rady; row++) {
|
|
_mm_storeu_ps( &dst[row*W+col], LVFU(dst[(row-1)*W+col]) + (LVFU(temp[(row+rady)*W+col])- LVFU(temp[(row-rady-1)*W+col]))/lenv);
|
|
}
|
|
for (int row=H-rady; row<H; row++) {
|
|
lenm1v = lenv - onev;
|
|
_mm_storeu_ps( &dst[row*W+col], (LVFU(dst[(row-1)*W+col])*lenv - LVFU(temp[(row-rady-1)*W+col]))/lenm1v);
|
|
lenv = lenm1v;
|
|
}
|
|
}
|
|
for (int col = W-(W%4); col < W; col++) {
|
|
int len = rady + 1;
|
|
dst[0*W+col] = temp[0*W+col]/len;
|
|
for (int i=1; i<=rady; i++) {
|
|
dst[0*W+col] += temp[i*W+col]/len;
|
|
}
|
|
for (int row=1; row<=rady; row++) {
|
|
dst[row*W+col] = (dst[(row-1)*W+col]*len + temp[(row+rady)*W+col])/(len+1);
|
|
len ++;
|
|
}
|
|
for (int row = rady+1; row < H-rady; row++) {
|
|
dst[row*W+col] = dst[(row-1)*W+col] + (temp[(row+rady)*W+col] - temp[(row-rady-1)*W+col])/len;
|
|
}
|
|
for (int row=H-rady; row<H; row++) {
|
|
dst[row*W+col] = (dst[(row-1)*W+col]*len - temp[(row-rady-1)*W+col])/(len-1);
|
|
len --;
|
|
}
|
|
}
|
|
|
|
#else
|
|
|
|
//OpenMP here
|
|
#ifdef _OPENMP
|
|
#pragma omp parallel for
|
|
#endif
|
|
for (int col = 0; col < W; col++) {
|
|
int len = rady + 1;
|
|
dst[0*W+col] = temp[0*W+col]/len;
|
|
for (int i=1; i<=rady; i++) {
|
|
dst[0*W+col] += temp[i*W+col]/len;
|
|
}
|
|
for (int row=1; row<=rady; row++) {
|
|
dst[row*W+col] = (dst[(row-1)*W+col]*len + temp[(row+rady)*W+col])/(len+1);
|
|
len ++;
|
|
}
|
|
for (int row = rady+1; row < H-rady; row++) {
|
|
dst[row*W+col] = dst[(row-1)*W+col] + (temp[(row+rady)*W+col] - temp[(row-rady-1)*W+col])/len;
|
|
}
|
|
for (int row=H-rady; row<H; row++) {
|
|
dst[row*W+col] = (dst[(row-1)*W+col]*len - temp[(row-rady-1)*W+col])/(len-1);
|
|
len --;
|
|
}
|
|
}
|
|
#endif
|
|
}
|
|
|
|
delete buffer;
|
|
|
|
}
|
|
|
|
//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
|
|
|
}
|
|
#endif /* _BOXBLUR_H_ */
|