579 lines
16 KiB
C++
579 lines
16 KiB
C++
#include <memory>
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#include "tpixel.h"
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#include <stdio.h>
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#include "tfxparam.h"
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#include <stdlib.h>
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#include <math.h>
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#include <assert.h>
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#include "tpixelutils.h"
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#include "trop.h"
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#include "stdfx.h"
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#include "tgeometry.h"
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#include "tfxattributes.h"
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#include "tparamuiconcept.h"
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//#include "timage_io.h"
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/*---------------------------------------------------------------------------*/
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namespace
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{
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/*
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template<class T>
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void overlayPixels(const T& dw, const T& up, T& ris, double glob)
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{
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int value;
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double aux;
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int max = T::maxChannelValue;
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if (up.m == 0)
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ris = dw;
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else if ((up.m == max)&&(glob==1))
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ris = up;
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else if (glob==1)
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{
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aux = (max-up.m)/max;
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value = up.r + troundp(dw.r * aux);
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ris.r = (value <max)?value:max;
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value = up.g + troundp(dw.g * aux);
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ris.g = (value <max)?value:max;
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value = up.b + troundp(dw.b * aux);
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ris.b = (value <max)?value:max;
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value = up.m + dw.m;
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ris.m = (value <max)?value:max;
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}
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else
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{
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aux = (max-up.m*glob)/max;
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value = (int)(up.r*glob) + troundp(dw.r * aux);
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ris.r = (value <max)?value:max;
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value = (int)(up.g*glob) + troundp(dw.g * aux);
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ris.g = (value <max)?value:max;
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value = (int)(up.b*glob) + troundp(dw.b * aux);
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ris.b = (value <max)?value:max;
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value = (int)(up.m*glob) + dw.m;
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ris.m = (value <max)?value:max;
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}
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}
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*/
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/*---------------------------------------------------------------------------*/
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template <class T>
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inline void blur_code(
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T *row1, T *row2, int length, double coeff, double coeffq, int brad, double diff, double globmatte)
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{
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int i;
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double rsum, gsum, bsum, msum;
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TPixelD sigma1, sigma2, sigma3, desigma;
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T *pix1, *pix2, *pix3, *pix4;
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int max = T::maxChannelValue;
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pix1 = row1;
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pix2 = row1 - 1;
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sigma1.r = pix1->r;
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sigma1.g = pix1->g;
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sigma1.b = pix1->b;
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sigma1.m = pix1->m;
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pix1++;
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sigma2.r = sigma2.g = sigma2.b = sigma2.m = 0.0;
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sigma3.r = sigma3.g = sigma3.b = sigma3.m = 0.0;
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for (i = 1; i < brad; i++) {
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sigma1.r += pix1->r;
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sigma1.g += pix1->g;
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sigma1.b += pix1->b;
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sigma1.m += pix1->m;
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sigma2.r += pix2->r;
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sigma2.g += pix2->g;
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sigma2.b += pix2->b;
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sigma2.m += pix2->m;
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sigma3.r += i * (pix1->r + pix2->r);
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sigma3.g += i * (pix1->g + pix2->g);
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sigma3.b += i * (pix1->b + pix2->b);
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sigma3.m += i * (pix1->m + pix2->m);
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pix1++;
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pix2--;
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}
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rsum = (sigma1.r + sigma2.r) * coeff - sigma3.r * coeffq + 0.5;
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gsum = (sigma1.g + sigma2.g) * coeff - sigma3.g * coeffq + 0.5;
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bsum = (sigma1.b + sigma2.b) * coeff - sigma3.b * coeffq + 0.5;
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msum = (sigma1.m + sigma2.m) * coeff - sigma3.m * coeffq + 0.5;
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row2->r = tcrop((int)rsum, 0, max);
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row2->g = tcrop((int)gsum, 0, max);
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row2->b = tcrop((int)bsum, 0, max);
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row2->m = tcrop((int)msum, 0, max);
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if (globmatte != 1.0) {
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row2->r = (int)(row2->r * globmatte);
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row2->g = (int)(row2->g * globmatte);
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row2->b = (int)(row2->b * globmatte);
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row2->m = (int)(row2->m * globmatte);
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}
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*row2 = overPix(*row1, *row2);
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//overlayPixels<T>(*row1, *row2, *row2, globmatte);
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//row2++;
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sigma2.r += row1[-brad].r;
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sigma2.g += row1[-brad].g;
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sigma2.b += row1[-brad].b;
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sigma2.m += row1[-brad].m;
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pix1 = row1 + brad;
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pix2 = row1;
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pix3 = row1 - brad;
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pix4 = row1 - brad + 1;
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desigma.r = sigma1.r - sigma2.r;
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desigma.g = sigma1.g - sigma2.g;
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desigma.b = sigma1.b - sigma2.b;
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desigma.m = sigma1.m - sigma2.m;
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for (i = 1; i < length; i++) {
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desigma.r += pix1->r - 2 * pix2->r + pix3->r;
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desigma.g += pix1->g - 2 * pix2->g + pix3->g;
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desigma.b += pix1->b - 2 * pix2->b + pix3->b;
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desigma.m += pix1->m - 2 * pix2->m + pix3->m;
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rsum += (desigma.r + diff * (pix1->r - pix4->r)) * coeffq;
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gsum += (desigma.g + diff * (pix1->g - pix4->g)) * coeffq;
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bsum += (desigma.b + diff * (pix1->b - pix4->b)) * coeffq;
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msum += (desigma.m + diff * (pix1->m - pix4->m)) * coeffq;
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row2->r = tcrop((int)rsum, 0, max);
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row2->g = tcrop((int)gsum, 0, max);
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row2->b = tcrop((int)bsum, 0, max);
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row2->m = tcrop((int)msum, 0, max);
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if (globmatte != 1.0) {
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row2->r = (int)(row2->r * globmatte);
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row2->g = (int)(row2->g * globmatte);
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row2->b = (int)(row2->b * globmatte);
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row2->m = (int)(row2->m * globmatte);
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}
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*row2 = overPix(*pix2, *row2);
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//overlayPixels<T>(*pix2, *row2, *row2, 0.8);
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row2++;
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pix1++, pix2++, pix3++, pix4++;
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}
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}
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/*---------------------------------------------------------------------------*/
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template <class T>
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void do_filtering(T *row1, T *row2, int length, double coeff, int brad, double Mblur, double globmatte)
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{
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int i;
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double rsum, gsum, bsum, msum;
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TPixelD sigma1, sigma2;
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int max = T::maxChannelValue;
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sigma1.r = sigma1.g = sigma1.b = sigma1.m = 0.0;
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sigma2.r = sigma2.g = sigma2.b = sigma2.m = 0.0;
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for (i = 0; i <= brad; i++) {
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sigma1.r += row1[-i].r;
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sigma1.g += row1[-i].g;
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sigma1.b += row1[-i].b;
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sigma1.m += row1[-i].m;
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sigma2.r += -i * row1[-i].r;
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sigma2.g += -i * row1[-i].g;
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sigma2.b += -i * row1[-i].b;
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sigma2.m += -i * row1[-i].m;
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}
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for (i = 0; i < length; i++) /* for the ith point the previous computing is used, with the values */
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{
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/* stored in the auxiliar variables sigma1 and sigma2. */
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rsum = ((Mblur - i) * sigma1.r + sigma2.r) / coeff;
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gsum = ((Mblur - i) * sigma1.g + sigma2.g) / coeff;
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bsum = ((Mblur - i) * sigma1.b + sigma2.b) / coeff;
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msum = ((Mblur - i) * sigma1.m + sigma2.m) / coeff;
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row2[i].r = (rsum < max) ? troundp(rsum) : max;
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row2[i].g = (gsum < max) ? troundp(gsum) : max;
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row2[i].b = (bsum < max) ? troundp(bsum) : max;
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row2[i].m = (msum < max) ? troundp(msum) : max;
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if (globmatte != 1.0) {
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row2[i].r = (int)(row2[i].r * globmatte);
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row2[i].g = (int)(row2[i].g * globmatte);
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row2[i].b = (int)(row2[i].b * globmatte);
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row2[i].m = (int)(row2[i].m * globmatte);
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}
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row2[i] = overPix(row1[i], row2[i]);
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//overlayPixels<T>(row1[i], row2[i], row2[i], globmatte);
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if (i < length - 1) {
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sigma1.r += row1[i + 1].r - row1[i - brad].r;
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sigma1.g += row1[i + 1].g - row1[i - brad].g;
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sigma1.b += row1[i + 1].b - row1[i - brad].b;
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sigma1.m += row1[i + 1].m - row1[i - brad].m;
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sigma2.r += (i + 1) * row2[i + 1].r - (i - brad) * row1[i - brad].r;
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sigma2.g += (i + 1) * row2[i + 1].g - (i - brad) * row1[i - brad].g;
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sigma2.b += (i + 1) * row2[i + 1].b - (i - brad) * row1[i - brad].b;
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sigma2.m += (i + 1) * row2[i + 1].m - (i - brad) * row1[i - brad].m;
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}
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}
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}
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/*---------------------------------------------------------------------------*/
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template <class T>
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void takeRow(T *rin, T *row, int lx, int brad, bool bidirectional)
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{
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int i;
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for (i = 0; i < lx; i++)
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row[i] = rin[i];
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for (i = -1; i > -brad; i--) /* pixels equal to the ones of border of image are added */
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row[i] = row[0]; /* to avoid a black blur to get into the picture. */
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if (bidirectional)
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for (i = lx; i < lx + brad; i++) /* pixels equal to the ones of border of image are added */
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row[i] = row[lx - 1]; /* to avoid a black blur to get into the picture. */
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}
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/*---------------------------------------------------------------------------*/
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template <class T>
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void doDirectionalBlur(TRasterPT<T> r, double blur, bool bidirectional)
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{
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int i, lx, ly, brad;
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double coeff, coeffq, diff, globmatte;
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brad = tfloor(blur); /* number of pixels involved in the filtering. */
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if (bidirectional) {
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coeff = blur / (brad - brad * brad + blur * (2 * brad - 1)); //sum of the weights of triangolar filter.
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coeffq = coeff / blur;
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diff = blur - brad;
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} else
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coeff = (brad + 1) * (1 - brad / (2 * blur)) * blur; /*sum of the weights of triangolar filter. */
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lx = r->getLx();
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ly = r->getLy();
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if ((lx == 0) || (ly == 0))
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return;
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std::unique_ptr<T[]> row(new T[lx + 2 * brad + 2]);
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if (!row)
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return;
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memset(row.get(), 0, (lx + 2 * brad + 2) * sizeof(T));
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globmatte = 0.8; /* a little bit of transparency is also added */
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r->lock();
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for (i = 0; i < ly; i++) {
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T *buffer = (T *)r->pixels(i);
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takeRow(buffer, row.get() + brad, lx, brad, bidirectional);
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if (bidirectional)
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blur_code<T>(row.get() + brad, buffer, lx, coeff, coeffq, brad, diff, globmatte);
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else
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do_filtering<T>(row.get() + brad, buffer, lx, coeff, brad, blur, globmatte);
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}
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r->unlock();
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}
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/*---------------------------------------------------------------------------*/
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template <class T>
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void directionalBlur(TRasterPT<T> rout, TRasterPT<T> rin, const TPointD &blur, const TPoint &offset, bool bidirectional)
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{
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double cs, sn, cx_aux, cy_aux;
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int lx, ly, lx_aux, ly_aux;
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double blurValue = tdistance(TPointD(), blur);
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lx = rin->getLx();
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ly = rin->getLy();
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cs = blur.x / blurValue;
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sn = blur.y / blurValue;
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lx_aux = (int)tceil(lx * fabs(cs) + ly * fabs(sn));
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ly_aux = (int)tceil(lx * fabs(sn) + ly * fabs(cs));
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cx_aux = lx_aux * .5;
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cy_aux = ly_aux * .5;
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TRasterPT<T> raux = TRasterPT<T>(lx_aux, ly_aux);
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TAffine rot(cs, sn, 0, -sn, cs, 0);
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rot = rot.place(convert(rin->getCenter()), convert(raux->getCenter()));
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TRop::resample(raux, rin, rot);
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doDirectionalBlur<T>(raux, blurValue, bidirectional);
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TAffine rotInv(cs, -sn, 0, sn, cs, 0);
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rotInv = rotInv.place(convert(raux->getCenter()), convert(rin->getCenter() + offset));
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TRop::resample(rout, raux, rotInv);
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}
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} //namespace
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void enlargeDir(TRectD &r, TPointD p, bool bidirectional)
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{
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if (bidirectional) {
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r.x1 += fabs(p.x);
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r.x0 -= fabs(p.x);
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r.y1 += fabs(p.y);
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r.y0 -= fabs(p.y);
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} else {
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if (p.x > 0)
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r.x1 += p.x;
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else
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r.x0 -= -p.x;
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if (p.y > 0)
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r.y1 += p.y;
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else
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r.y0 -= -p.y;
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}
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}
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void reduceDir(TRectD &r, TPointD p, bool bidirectional)
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{
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if (bidirectional) {
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r.x1 -= fabs(p.x);
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r.x0 += fabs(p.x);
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r.y1 -= fabs(p.y);
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r.y0 += fabs(p.y);
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} else {
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if (p.x > 0)
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r.x1 -= p.x;
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else
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r.x0 += -p.x;
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if (p.y > 0)
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r.y1 -= p.y;
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else
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r.y0 += -p.y;
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}
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}
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class DirectionalBlurBaseFx : public TStandardRasterFx
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{
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//FX_PLUGIN_DECLARATION(DirectionalBlurBaseFx)
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protected:
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bool m_isMotionBlur;
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TRasterFxPort m_input;
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TDoubleParamP m_angle;
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TDoubleParamP m_intensity;
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TBoolParamP m_bidirectional;
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TBoolParamP m_spread;
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// TBoolParamP m_useSSE;
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public:
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bool doGetBBox(double frame, TRectD &bBox, const TRenderSettings &info);
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DirectionalBlurBaseFx(bool isMotionBLur) : m_isMotionBlur(isMotionBLur), m_angle(0.0), m_intensity(10.0), m_bidirectional(false), m_spread(true)
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{
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bindParam(this, "intensity", m_intensity);
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bindParam(this, "bidirectional", m_bidirectional);
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bindParam(this, "spread", m_spread);
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addInputPort("Source", m_input);
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m_intensity->setValueRange(0, (std::numeric_limits<double>::max)());
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getAttributes()->setIsSpeedAware(true);
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}
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TPointD getBlurVector(double frame) const
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{
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TPointD speed = getAttributes()->getSpeed();
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double value = m_intensity->getValue(frame);
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return value * speed;
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}
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~DirectionalBlurBaseFx(){};
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void doCompute(TTile &tile, double frame, const TRenderSettings &);
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bool canHandle(const TRenderSettings &info, double frame)
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{
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return isAlmostIsotropic(info.m_affine) || m_intensity->getValue(frame) == 0;
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}
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int getMemoryRequirement(const TRectD &rect, double frame, const TRenderSettings &info);
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};
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class DirectionalBlurFx : public DirectionalBlurBaseFx
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{
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FX_PLUGIN_DECLARATION(DirectionalBlurFx)
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public:
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DirectionalBlurFx()
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: DirectionalBlurBaseFx(false)
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{
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m_intensity->setMeasureName("fxLength");
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m_angle->setMeasureName("angle");
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bindParam(this, "angle", m_angle);
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}
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void getParamUIs(TParamUIConcept *&concepts, int &length)
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{
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concepts = new TParamUIConcept[length = 1];
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concepts[0].m_type = TParamUIConcept::POLAR;
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concepts[0].m_label = "Angle and Intensity";
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concepts[0].m_params.push_back(m_angle);
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concepts[0].m_params.push_back(m_intensity);
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}
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};
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class MotionBlurFx : public DirectionalBlurBaseFx
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{
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FX_PLUGIN_DECLARATION(MotionBlurFx)
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public:
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MotionBlurFx()
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: DirectionalBlurBaseFx(true)
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{
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}
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string getAlias(double frame, const TRenderSettings &info) const
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{
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unsigned long id = getIdentifier();
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double value = m_intensity->getValue(frame);
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return getFxType() + "[" + toString(id) + "," + toString(frame) + "," + toString(value) + "]";
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}
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};
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//-------------------------------------------------------------------
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bool DirectionalBlurBaseFx::doGetBBox(double frame, TRectD &bBox, const TRenderSettings &info)
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{
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if (m_input.isConnected()) {
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bool ret = m_input->doGetBBox(frame, bBox, info);
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if (m_spread->getValue()) {
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TPointD blur;
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if (m_isMotionBlur)
|
|
blur = getBlurVector(frame);
|
|
else {
|
|
double angle = m_angle->getValue(frame) * (TConsts::pi / 180);
|
|
blur.x = m_intensity->getValue(frame) * cos(angle);
|
|
blur.y = m_intensity->getValue(frame) * sin(angle);
|
|
}
|
|
|
|
enlargeDir(bBox, blur, m_bidirectional->getValue());
|
|
}
|
|
return ret;
|
|
} else {
|
|
bBox = TRectD();
|
|
return false;
|
|
}
|
|
}
|
|
|
|
//-------------------------------------------------------------------
|
|
|
|
void DirectionalBlurBaseFx::doCompute(TTile &tile, double frame, const TRenderSettings &ri)
|
|
{
|
|
if (!m_input.isConnected())
|
|
return;
|
|
|
|
TPointD blurVector;
|
|
if (m_isMotionBlur) {
|
|
blurVector = getBlurVector(frame);
|
|
} else {
|
|
double angle = m_angle->getValue(frame) * (TConsts::pi / 180);
|
|
blurVector.x = m_intensity->getValue(frame) * cos(angle);
|
|
blurVector.y = m_intensity->getValue(frame) * sin(angle);
|
|
}
|
|
|
|
const double limit = 900.0;
|
|
blurVector.x = tcrop(blurVector.x, -limit, limit);
|
|
blurVector.y = tcrop(blurVector.y, -limit, limit);
|
|
double shrink = (ri.m_shrinkX + ri.m_shrinkY) / 2.0;
|
|
|
|
TAffine aff = ri.m_affine;
|
|
aff.a13 = aff.a23 = 0;
|
|
TPointD blur = (1.0 / shrink) * (aff * blurVector);
|
|
|
|
double blurValue = norm(blur);
|
|
if (areAlmostEqual(blurValue, 0, 1e-3)) {
|
|
m_input->compute(tile, frame, ri);
|
|
return;
|
|
}
|
|
|
|
TRectD rectTile = TRectD(tile.m_pos, TDimensionD(tile.getRaster()->getLx(), tile.getRaster()->getLy()));
|
|
if (!rectTile.isEmpty()) {
|
|
TRectD bboxIn;
|
|
m_input->getBBox(frame, bboxIn, ri);
|
|
if (bboxIn == TConsts::infiniteRectD)
|
|
bboxIn = rectTile;
|
|
TPointD blur = (1.0 / shrink) * (aff * blurVector);
|
|
//enlarge must be bidirectional, because we need pixel on the ohter side of blur
|
|
enlargeDir(bboxIn, blur, true);
|
|
rectTile = bboxIn * rectTile.enlarge(fabs(blur.x), fabs(blur.y));
|
|
TRect rectIn;
|
|
rectIn.x0 = tfloor(rectTile.x0);
|
|
rectIn.y0 = tfloor(rectTile.y0);
|
|
rectIn.x1 = tceil(rectTile.x1);
|
|
rectIn.y1 = tceil(rectTile.y1);
|
|
|
|
int rasInLx = rectIn.getLx();
|
|
int rasInLy = rectIn.getLy();
|
|
TTile tileIn;
|
|
m_input->allocateAndCompute(tileIn, convert(rectIn.getP00()),
|
|
TDimension(rasInLx, rasInLy),
|
|
tile.getRaster(), frame, ri);
|
|
TRasterP rasIn = tileIn.getRaster();
|
|
TRect rectOut = rasIn->getBounds() + (rectIn.getP00() - convert(tile.m_pos));
|
|
TRasterP rasOut = tile.getRaster()->extract(rectOut);
|
|
|
|
TPoint p;
|
|
if (rectIn.x0 < tile.m_pos.x)
|
|
p.x = rectIn.x0 - tile.m_pos.x;
|
|
if (rectIn.y0 < tile.m_pos.y)
|
|
p.y = rectIn.y0 - tile.m_pos.y;
|
|
if ((TRaster32P)rasIn && (TRaster32P)rasOut)
|
|
directionalBlur<TPixel32>(rasOut, rasIn, blur, p, m_bidirectional->getValue());
|
|
else if ((TRaster64P)rasIn && (TRaster64P)rasOut)
|
|
directionalBlur<TPixel64>(rasOut, rasIn, blur, p, m_bidirectional->getValue());
|
|
}
|
|
}
|
|
|
|
//---------------------------------------------------------------------------
|
|
|
|
int DirectionalBlurBaseFx::getMemoryRequirement(const TRectD &rect, double frame, const TRenderSettings &info)
|
|
{
|
|
TPointD blurVector;
|
|
if (m_isMotionBlur) {
|
|
blurVector = getBlurVector(frame);
|
|
} else {
|
|
double angle = m_angle->getValue(frame) * (TConsts::pi / 180);
|
|
blurVector.x = m_intensity->getValue(frame) * cos(angle);
|
|
blurVector.y = m_intensity->getValue(frame) * sin(angle);
|
|
}
|
|
|
|
const double limit = 900.0;
|
|
blurVector.x = tcrop(blurVector.x, -limit, limit);
|
|
blurVector.y = tcrop(blurVector.y, -limit, limit);
|
|
double shrink = (info.m_shrinkX + info.m_shrinkY) / 2.0;
|
|
|
|
TAffine aff = info.m_affine;
|
|
aff.a13 = aff.a23 = 0;
|
|
TPointD blur = (1.0 / shrink) * (aff * blurVector);
|
|
|
|
return TRasterFx::memorySize(rect.enlarge(blur.x, blur.y), info.m_bpp);
|
|
}
|
|
|
|
//---------------------------------------------------------------------------
|
|
|
|
FX_PLUGIN_IDENTIFIER(DirectionalBlurFx, "directionalBlurFx");
|
|
FX_PLUGIN_IDENTIFIER(MotionBlurFx, "motionBlurFx");
|