eliminate AlignedBufferMP, also eliminate some unsused functions in boxblur.h
This commit is contained in:
heckflosse
@@ -34,8 +34,6 @@ namespace rtengine
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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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//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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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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@@ -125,8 +123,6 @@ template<class T, class A> void boxblur (T** src, A** dst, int radx, int rady, i
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template<class T, class A> SSEFUNCTION void boxblur (T** src, A** dst, T* buffer, int radx, int rady, int W, int H)
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{
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//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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//box blur image; box range = (radx,rady)
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float* temp = buffer;
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@@ -313,13 +309,8 @@ template<class T, class A> SSEFUNCTION void boxblur (T** src, A** dst, T* buffer
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}
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//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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template<class T, class A> SSEFUNCTION void boxblur (T* src, A* dst, A* buffer, int radx, int rady, int W, int H)
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{
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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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float* temp = buffer;
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@@ -505,489 +496,6 @@ template<class T, class A> SSEFUNCTION void boxblur (T* src, A* dst, A* 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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{
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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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//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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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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}
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} else {
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//horizontal blur
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//OpenMP here
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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] = fabs(src[row * W + 0] - tempave[row * W + 0]) / len;
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for (int j = 1; j <= radx; j++) {
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temp[row * W + 0] += fabs(src[row * W + j] - tempave[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 + fabs(src[row * W + col + radx] - tempave[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] + (fabs(src[row * W + col + radx] - tempave[row * W + col + radx]) - \
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fabs(src[row * W + col - radx - 1] - tempave[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 - fabs(src[row * W + col - radx - 1] - tempave[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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//OpenMP here
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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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}
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delete buffer1;
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delete buffer2;
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}
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//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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template<class T, class A> void boxsqblur (T* src, A* dst, int radx, int rady, int W, int H)
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{
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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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#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] = SQR(src[row * W + col]);
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}
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} else {
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//horizontal blur
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//OpenMP here
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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] = SQR((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] += SQR((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 + 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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temp[row * W + col] = temp[row * W + col - 1] + ((float)(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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temp[row * W + col] = (temp[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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}
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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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//OpenMP here
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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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}
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delete buffer;
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}
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//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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template<class T, class A> void boxcorrelate (T* src, A* dst, int dx, int dy, int radx, int rady, int W, int H)
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{
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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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int rr = min(H - 1, max(0, row + dy));
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for (int col = 0; col < W; col++) {
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int cc = min(W - 1, max(0, col + dx));
|
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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;
|
||||
|
||||
}
|
||||
|
||||
|
||||
//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||||
//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||||
|
||||
template<class T, class A> SSEFUNCTION void boxabsblur (T* src, A* dst, int radx, int rady, int W, int H, float * temp)
|
||||
{
|
||||
|
||||
@@ -1131,7 +639,5 @@ template<class T, class A> SSEFUNCTION void boxabsblur (T* src, A* dst, int radx
|
||||
|
||||
}
|
||||
|
||||
//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||||
|
||||
}
|
||||
#endif /* _BOXBLUR_H_ */
|
||||
|
||||
Reference in New Issue
Block a user