2015-08-27 17:11:05 +02:00

1010 lines
33 KiB
C++

/*
* This file is part of RawTherapee.
*
* Copyright (c) 2004-2010 Gabor Horvath <hgabor@rawtherapee.com>
*
* RawTherapee is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* RawTherapee is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with RawTherapee. If not, see <http://www.gnu.org/licenses/>.
*/
#ifndef _GAUSS_H_
#define _GAUSS_H_
#include <cstdlib>
#include <cstring>
#include <cmath>
#include "alignedbuffer.h"
#ifdef _OPENMP
#include <omp.h>
#endif
#include "opthelper.h"
// classical filtering if the support window is small:
template<class T> void gaussHorizontal3 (T** src, T** dst, AlignedBufferMP<double> &buffer, int W, int H, const float c0, const float c1)
{
#ifdef _OPENMP
#pragma omp for
#endif
for (int i = 0; i < H; i++) {
AlignedBuffer<double>* pBuf = buffer.acquire();
T* temp = (T*)pBuf->data;
for (int j = 1; j < W - 1; j++) {
temp[j] = (T)(c1 * (src[i][j - 1] + src[i][j + 1]) + c0 * src[i][j]);
}
dst[i][0] = src[i][0];
memcpy (dst[i] + 1, temp + 1, (W - 2)*sizeof(T));
buffer.release(pBuf);
dst[i][W - 1] = src[i][W - 1];
}
}
template<class T> void gaussVertical3 (T** src, T** dst, AlignedBufferMP<double> &buffer, int W, int H, const float c0, const float c1)
{
#ifdef _OPENMP
#pragma omp for
#endif
for (int i = 0; i < W; i++) {
AlignedBuffer<double>* pBuf = buffer.acquire();
T* temp = (T*)pBuf->data;
for (int j = 1; j < H - 1; j++) {
temp[j] = (T)(c1 * (src[j - 1][i] + src[j + 1][i]) + c0 * src[j][i]);
}
dst[0][i] = src[0][i];
for (int j = 1; j < H - 1; j++) {
dst[j][i] = temp[j];
}
buffer.release(pBuf);
dst[H - 1][i] = src[H - 1][i];
}
}
#ifdef __SSE__
template<class T> SSEFUNCTION void gaussVertical3Sse (T** src, T** dst, int W, int H, const float c0, const float c1)
{
__m128 Tv, Tm1v, Tp1v;
__m128 c0v, c1v;
c0v = _mm_set1_ps(c0);
c1v = _mm_set1_ps(c1);
#ifdef _OPENMP
#pragma omp for
#endif
for (int i = 0; i < W - 3; i += 4) {
Tm1v = _mm_loadu_ps( &src[0][i] );
_mm_storeu_ps( &dst[0][i], Tm1v);
if (H > 1) {
Tv = _mm_loadu_ps( &src[1][i]);
}
for (int j = 1; j < H - 1; j++) {
Tp1v = _mm_loadu_ps( &src[j + 1][i]);
_mm_storeu_ps( &dst[j][i], c1v * (Tp1v + Tm1v) + Tv * c0v);
Tm1v = Tv;
Tv = Tp1v;
}
_mm_storeu_ps( &dst[H - 1][i], _mm_loadu_ps( &src[H - 1][i]));
}
// Borders are done without SSE
#ifdef _OPENMP
#pragma omp for
#endif
for (int i = W - (W % 4); i < W; i++) {
dst[0][i] = src[0][i];
for (int j = 1; j < H - 1; j++) {
dst[j][i] = c1 * (src[j - 1][i] + src[j + 1][i]) + c0 * src[j][i];
}
dst[H - 1][i] = src[H - 1][i];
}
}
template<class T> SSEFUNCTION void gaussHorizontal3Sse (T** src, T** dst, int W, int H, const float c0, const float c1)
{
float tmp[W][4] __attribute__ ((aligned (16)));
__m128 Tv, Tm1v, Tp1v;
__m128 c0v, c1v;
c0v = _mm_set1_ps(c0);
c1v = _mm_set1_ps(c1);
#ifdef _OPENMP
#pragma omp for
#endif
for (int i = 0; i < H - 3; i += 4) {
dst[i][0] = src[i][0];
dst[i + 1][0] = src[i + 1][0];
dst[i + 2][0] = src[i + 2][0];
dst[i + 3][0] = src[i + 3][0];
Tm1v = _mm_set_ps( src[i][0], src[i + 1][0], src[i + 2][0], src[i + 3][0] );
if (W > 1) {
Tv = _mm_set_ps( src[i][1], src[i + 1][1], src[i + 2][1], src[i + 3][1] );
}
for (int j = 1; j < W - 1; j++) {
Tp1v = _mm_set_ps( src[i][j + 1], src[i + 1][j + 1], src[i + 2][j + 1], src[i + 3][j + 1] );
_mm_store_ps( &tmp[j][0], c1v * (Tp1v + Tm1v) + Tv * c0v);
Tm1v = Tv;
Tv = Tp1v;
}
for (int j = 1; j < W - 1; j++) {
dst[i + 3][j] = tmp[j][0];
dst[i + 2][j] = tmp[j][1];
dst[i + 1][j] = tmp[j][2];
dst[i][j] = tmp[j][3];
}
dst[i][W - 1] = src[i][W - 1];
dst[i + 1][W - 1] = src[i + 1][W - 1];
dst[i + 2][W - 1] = src[i + 2][W - 1];
dst[i + 3][W - 1] = src[i + 3][W - 1];
}
// Borders are done without SSE
#ifdef _OPENMP
#pragma omp for
#endif
for (int i = H - (H % 4); i < H; i++) {
dst[i][0] = src[i][0];
for (int j = 1; j < W - 1; j++) {
dst[i][j] = c1 * (src[i][j - 1] + src[i][j + 1]) + c0 * src[i][j];
}
dst[i][W - 1] = src[i][W - 1];
}
}
// fast gaussian approximation if the support window is large
template<class T> SSEFUNCTION void gaussHorizontalSse (T** src, T** dst, int W, int H, float sigma)
{
if (sigma < 0.25) {
// dont perform filtering
if (src != dst)
#ifdef _OPENMP
#pragma omp for
#endif
for (int i = 0; i < H; i++) {
memcpy (dst[i], src[i], W * sizeof(T));
}
return;
}
if (sigma < 0.6) {
// compute 3x3 kernel
float c1 = exp (-1.0 / (2.0 * sigma * sigma));
float csum = 2.0 * c1 + 1.0;
c1 /= csum;
float c0 = 1.0 / csum;
gaussHorizontal3Sse<T> (src, dst, W, H, c0, c1);
return;
}
// coefficient calculation
float q = 0.98711 * sigma - 0.96330;
if (sigma < 2.5) {
q = 3.97156 - 4.14554 * sqrt (1.0 - 0.26891 * sigma);
}
float b0 = 1.57825 + 2.44413 * q + 1.4281 * q * q + 0.422205 * q * q * q;
float b1 = 2.44413 * q + 2.85619 * q * q + 1.26661 * q * q * q;
float b2 = -1.4281 * q * q - 1.26661 * q * q * q;
float b3 = 0.422205 * q * q * q;
float B = 1.0 - (b1 + b2 + b3) / b0;
b1 /= b0;
b2 /= b0;
b3 /= b0;
// From: Bill Triggs, Michael Sdika: Boundary Conditions for Young-van Vliet Recursive Filtering
float M[3][3];
M[0][0] = -b3 * b1 + 1.0 - b3 * b3 - b2;
M[0][1] = (b3 + b1) * (b2 + b3 * b1);
M[0][2] = b3 * (b1 + b3 * b2);
M[1][0] = b1 + b3 * b2;
M[1][1] = -(b2 - 1.0) * (b2 + b3 * b1);
M[1][2] = -(b3 * b1 + b3 * b3 + b2 - 1.0) * b3;
M[2][0] = b3 * b1 + b2 + b1 * b1 - b2 * b2;
M[2][1] = b1 * b2 + b3 * b2 * b2 - b1 * b3 * b3 - b3 * b3 * b3 - b3 * b2 + b3;
M[2][2] = b3 * (b1 + b3 * b2);
for (int i = 0; i < 3; i++)
for (int j = 0; j < 3; j++) {
M[i][j] *= (1.0 + b2 + (b1 - b3) * b3);
M[i][j] /= (1.0 + b1 - b2 + b3) * (1.0 - b1 - b2 - b3);
}
float tmp[W][4] __attribute__ ((aligned (16)));
float tmpV[4] __attribute__ ((aligned (16)));
__m128 Rv;
__m128 Tv, Tm2v, Tm3v;
__m128 Bv, b1v, b2v, b3v;
__m128 temp2W, temp2Wp1;
Bv = _mm_set1_ps(B);
b1v = _mm_set1_ps(b1);
b2v = _mm_set1_ps(b2);
b3v = _mm_set1_ps(b3);
#ifdef _OPENMP
#pragma omp for
#endif
for (int i = 0; i < H - 3; i += 4) {
tmpV[0] = src[i + 3][0];
tmpV[1] = src[i + 2][0];
tmpV[2] = src[i + 1][0];
tmpV[3] = src[i][0];
Tv = _mm_load_ps(tmpV);
Rv = Tv * (Bv + b1v + b2v + b3v);
Tm3v = Rv;
_mm_store_ps( &tmp[0][0], Rv );
tmpV[0] = src[i + 3][1];
tmpV[1] = src[i + 2][1];
tmpV[2] = src[i + 1][1];
tmpV[3] = src[i][1];
Rv = _mm_load_ps(tmpV) * Bv + Rv * b1v + Tv * (b2v + b3v);
Tm2v = Rv;
_mm_store_ps( &tmp[1][0], Rv );
tmpV[0] = src[i + 3][2];
tmpV[1] = src[i + 2][2];
tmpV[2] = src[i + 1][2];
tmpV[3] = src[i][2];
Rv = _mm_load_ps(tmpV) * Bv + Rv * b1v + Tm3v * b2v + Tv * b3v;
_mm_store_ps( &tmp[2][0], Rv );
for (int j = 3; j < W; j++) {
Tv = Rv;
Rv = _mm_set_ps(src[i][j], src[i + 1][j], src[i + 2][j], src[i + 3][j]) * Bv + Tv * b1v + Tm2v * b2v + Tm3v * b3v;
_mm_store_ps( &tmp[j][0], Rv );
Tm3v = Tm2v;
Tm2v = Tv;
}
Tv = _mm_set_ps(src[i][W - 1], src[i + 1][W - 1], src[i + 2][W - 1], src[i + 3][W - 1]);
temp2Wp1 = Tv + _mm_set1_ps(M[2][0]) * (Rv - Tv) + _mm_set1_ps(M[2][1]) * ( Tm2v - Tv ) + _mm_set1_ps(M[2][2]) * (Tm3v - Tv);
temp2W = Tv + _mm_set1_ps(M[1][0]) * (Rv - Tv) + _mm_set1_ps(M[1][1]) * (Tm2v - Tv) + _mm_set1_ps(M[1][2]) * (Tm3v - Tv);
Rv = Tv + _mm_set1_ps(M[0][0]) * (Rv - Tv) + _mm_set1_ps(M[0][1]) * (Tm2v - Tv) + _mm_set1_ps(M[0][2]) * (Tm3v - Tv);
_mm_store_ps( &tmp[W - 1][0], Rv );
Tm2v = Bv * Tm2v + b1v * Rv + b2v * temp2W + b3v * temp2Wp1;
_mm_store_ps( &tmp[W - 2][0], Tm2v );
Tm3v = Bv * Tm3v + b1v * Tm2v + b2v * Rv + b3v * temp2W;
_mm_store_ps( &tmp[W - 3][0], Tm3v );
Tv = Rv;
Rv = Tm3v;
Tm3v = Tv;
for (int j = W - 4; j >= 0; j--) {
Tv = Rv;
Rv = _mm_load_ps(&tmp[j][0]) * Bv + Tv * b1v + Tm2v * b2v + Tm3v * b3v;
_mm_store_ps( &tmp[j][0], Rv );
Tm3v = Tm2v;
Tm2v = Tv;
}
for (int j = 0; j < W; j++) {
dst[i + 3][j] = tmp[j][0];
dst[i + 2][j] = tmp[j][1];
dst[i + 1][j] = tmp[j][2];
dst[i][j] = tmp[j][3];
}
}
// Borders are done without SSE
#ifdef _OPENMP
#pragma omp for
#endif
for (int i = H - (H % 4); i < H; i++) {
tmp[0][0] = B * src[i][0] + b1 * src[i][0] + b2 * src[i][0] + b3 * src[i][0];
tmp[1][0] = B * src[i][1] + b1 * tmp[0][0] + b2 * src[i][0] + b3 * src[i][0];
tmp[2][0] = B * src[i][2] + b1 * tmp[1][0] + b2 * tmp[0][0] + b3 * src[i][0];
for (int j = 3; j < W; j++) {
tmp[j][0] = B * src[i][j] + b1 * tmp[j - 1][0] + b2 * tmp[j - 2][0] + b3 * tmp[j - 3][0];
}
float temp2Wm1 = src[i][W - 1] + M[0][0] * (tmp[W - 1][0] - src[i][W - 1]) + M[0][1] * (tmp[W - 2][0] - src[i][W - 1]) + M[0][2] * (tmp[W - 3][0] - src[i][W - 1]);
float temp2W = src[i][W - 1] + M[1][0] * (tmp[W - 1][0] - src[i][W - 1]) + M[1][1] * (tmp[W - 2][0] - src[i][W - 1]) + M[1][2] * (tmp[W - 3][0] - src[i][W - 1]);
float temp2Wp1 = src[i][W - 1] + M[2][0] * (tmp[W - 1][0] - src[i][W - 1]) + M[2][1] * (tmp[W - 2][0] - src[i][W - 1]) + M[2][2] * (tmp[W - 3][0] - src[i][W - 1]);
tmp[W - 1][0] = temp2Wm1;
tmp[W - 2][0] = B * tmp[W - 2][0] + b1 * tmp[W - 1][0] + b2 * temp2W + b3 * temp2Wp1;
tmp[W - 3][0] = B * tmp[W - 3][0] + b1 * tmp[W - 2][0] + b2 * tmp[W - 1][0] + b3 * temp2W;
for (int j = W - 4; j >= 0; j--) {
tmp[j][0] = B * tmp[j][0] + b1 * tmp[j + 1][0] + b2 * tmp[j + 2][0] + b3 * tmp[j + 3][0];
}
for (int j = 0; j < W; j++) {
dst[i][j] = tmp[j][0];
}
}
}
#endif
// fast gaussian approximation if the support window is large
template<class T> void gaussHorizontal (T** src, T** dst, AlignedBufferMP<double> &buffer, int W, int H, double sigma)
{
#ifdef __SSE__
if (sigma < 70) { // bigger sigma only with double precision
gaussHorizontalSse<T> (src, dst, W, H, sigma);
return;
}
#endif
if (sigma < 0.25) {
// dont perform filtering
if (src != dst)
#ifdef _OPENMP
#pragma omp for
#endif
for (int i = 0; i < H; i++) {
memcpy (dst[i], src[i], W * sizeof(T));
}
return;
}
if (sigma < 0.6) {
// compute 3x3 kernel
double c1 = exp (-1.0 / (2.0 * sigma * sigma));
double csum = 2.0 * c1 + 1.0;
c1 /= csum;
double c0 = 1.0 / csum;
gaussHorizontal3<T> (src, dst, buffer, W, H, c0, c1);
return;
}
// coefficient calculation
double q = 0.98711 * sigma - 0.96330;
if (sigma < 2.5) {
q = 3.97156 - 4.14554 * sqrt (1.0 - 0.26891 * sigma);
}
double b0 = 1.57825 + 2.44413 * q + 1.4281 * q * q + 0.422205 * q * q * q;
double b1 = 2.44413 * q + 2.85619 * q * q + 1.26661 * q * q * q;
double b2 = -1.4281 * q * q - 1.26661 * q * q * q;
double b3 = 0.422205 * q * q * q;
double B = 1.0 - (b1 + b2 + b3) / b0;
b1 /= b0;
b2 /= b0;
b3 /= b0;
// From: Bill Triggs, Michael Sdika: Boundary Conditions for Young-van Vliet Recursive Filtering
double M[3][3];
M[0][0] = -b3 * b1 + 1.0 - b3 * b3 - b2;
M[0][1] = (b3 + b1) * (b2 + b3 * b1);
M[0][2] = b3 * (b1 + b3 * b2);
M[1][0] = b1 + b3 * b2;
M[1][1] = -(b2 - 1.0) * (b2 + b3 * b1);
M[1][2] = -(b3 * b1 + b3 * b3 + b2 - 1.0) * b3;
M[2][0] = b3 * b1 + b2 + b1 * b1 - b2 * b2;
M[2][1] = b1 * b2 + b3 * b2 * b2 - b1 * b3 * b3 - b3 * b3 * b3 - b3 * b2 + b3;
M[2][2] = b3 * (b1 + b3 * b2);
for (int i = 0; i < 3; i++)
for (int j = 0; j < 3; j++) {
M[i][j] /= (1.0 + b1 - b2 + b3) * (1.0 + b2 + (b1 - b3) * b3);
}
#ifdef _OPENMP
#pragma omp for
#endif
for (int i = 0; i < H; i++) {
AlignedBuffer<double>* pBuf = buffer.acquire();
double* temp2 = pBuf->data;
temp2[0] = B * src[i][0] + b1 * src[i][0] + b2 * src[i][0] + b3 * src[i][0];
temp2[1] = B * src[i][1] + b1 * temp2[0] + b2 * src[i][0] + b3 * src[i][0];
temp2[2] = B * src[i][2] + b1 * temp2[1] + b2 * temp2[0] + b3 * src[i][0];
for (int j = 3; j < W; j++) {
temp2[j] = B * src[i][j] + b1 * temp2[j - 1] + b2 * temp2[j - 2] + b3 * temp2[j - 3];
}
double temp2Wm1 = src[i][W - 1] + M[0][0] * (temp2[W - 1] - src[i][W - 1]) + M[0][1] * (temp2[W - 2] - src[i][W - 1]) + M[0][2] * (temp2[W - 3] - src[i][W - 1]);
double temp2W = src[i][W - 1] + M[1][0] * (temp2[W - 1] - src[i][W - 1]) + M[1][1] * (temp2[W - 2] - src[i][W - 1]) + M[1][2] * (temp2[W - 3] - src[i][W - 1]);
double temp2Wp1 = src[i][W - 1] + M[2][0] * (temp2[W - 1] - src[i][W - 1]) + M[2][1] * (temp2[W - 2] - src[i][W - 1]) + M[2][2] * (temp2[W - 3] - src[i][W - 1]);
temp2[W - 1] = temp2Wm1;
temp2[W - 2] = B * temp2[W - 2] + b1 * temp2[W - 1] + b2 * temp2W + b3 * temp2Wp1;
temp2[W - 3] = B * temp2[W - 3] + b1 * temp2[W - 2] + b2 * temp2[W - 1] + b3 * temp2W;
for (int j = W - 4; j >= 0; j--) {
temp2[j] = B * temp2[j] + b1 * temp2[j + 1] + b2 * temp2[j + 2] + b3 * temp2[j + 3];
}
for (int j = 0; j < W; j++) {
dst[i][j] = (T)temp2[j];
}
buffer.release(pBuf);
}
}
#ifdef __SSE__
template<class T> SSEFUNCTION void gaussVerticalSse (T** src, T** dst, int W, int H, float sigma)
{
if (sigma < 0.25) {
// dont perform filtering
if (src != dst)
#ifdef _OPENMP
#pragma omp for
#endif
for (int i = 0; i < H; i++) {
memcpy (dst[i], src[i], W * sizeof(T));
}
return;
}
if (sigma < 0.6) {
// compute 3x3 kernel
double c1 = exp (-1.0 / (2.0 * sigma * sigma));
double csum = 2.0 * c1 + 1.0;
c1 /= csum;
double c0 = 1.0 / csum;
gaussVertical3Sse<T> (src, dst, W, H, c0, c1);
return;
}
// coefficient calculation
double q = 0.98711 * sigma - 0.96330;
if (sigma < 2.5) {
q = 3.97156 - 4.14554 * sqrt (1.0 - 0.26891 * sigma);
}
double b0 = 1.57825 + 2.44413 * q + 1.4281 * q * q + 0.422205 * q * q * q;
double b1 = 2.44413 * q + 2.85619 * q * q + 1.26661 * q * q * q;
double b2 = -1.4281 * q * q - 1.26661 * q * q * q;
double b3 = 0.422205 * q * q * q;
double B = 1.0 - (b1 + b2 + b3) / b0;
b1 /= b0;
b2 /= b0;
b3 /= b0;
// From: Bill Triggs, Michael Sdika: Boundary Conditions for Young-van Vliet Recursive Filtering
double M[3][3];
M[0][0] = -b3 * b1 + 1.0 - b3 * b3 - b2;
M[0][1] = (b3 + b1) * (b2 + b3 * b1);
M[0][2] = b3 * (b1 + b3 * b2);
M[1][0] = b1 + b3 * b2;
M[1][1] = -(b2 - 1.0) * (b2 + b3 * b1);
M[1][2] = -(b3 * b1 + b3 * b3 + b2 - 1.0) * b3;
M[2][0] = b3 * b1 + b2 + b1 * b1 - b2 * b2;
M[2][1] = b1 * b2 + b3 * b2 * b2 - b1 * b3 * b3 - b3 * b3 * b3 - b3 * b2 + b3;
M[2][2] = b3 * (b1 + b3 * b2);
for (int i = 0; i < 3; i++)
for (int j = 0; j < 3; j++) {
M[i][j] *= (1.0 + b2 + (b1 - b3) * b3);
M[i][j] /= (1.0 + b1 - b2 + b3) * (1.0 - b1 - b2 - b3);
}
float tmp[H][4] __attribute__ ((aligned (16)));
__m128 Rv;
__m128 Tv, Tm2v, Tm3v;
__m128 Bv, b1v, b2v, b3v;
__m128 temp2W, temp2Wp1;
Bv = _mm_set1_ps(B);
b1v = _mm_set1_ps(b1);
b2v = _mm_set1_ps(b2);
b3v = _mm_set1_ps(b3);
#ifdef _OPENMP
#pragma omp for
#endif
for (int i = 0; i < W - 3; i += 4) {
Tv = _mm_loadu_ps( &src[0][i]);
Rv = Tv * (Bv + b1v + b2v + b3v);
Tm3v = Rv;
_mm_store_ps( &tmp[0][0], Rv );
Rv = _mm_loadu_ps(&src[1][i]) * Bv + Rv * b1v + Tv * (b2v + b3v);
Tm2v = Rv;
_mm_store_ps( &tmp[1][0], Rv );
Rv = _mm_loadu_ps(&src[2][i]) * Bv + Rv * b1v + Tm3v * b2v + Tv * b3v;
_mm_store_ps( &tmp[2][0], Rv );
for (int j = 3; j < H; j++) {
Tv = Rv;
Rv = _mm_loadu_ps(&src[j][i]) * Bv + Tv * b1v + Tm2v * b2v + Tm3v * b3v;
_mm_store_ps( &tmp[j][0], Rv );
Tm3v = Tm2v;
Tm2v = Tv;
}
Tv = _mm_loadu_ps(&src[H - 1][i]);
temp2Wp1 = Tv + _mm_set1_ps(M[2][0]) * (Rv - Tv) + _mm_set1_ps(M[2][1]) * (Tm2v - Tv) + _mm_set1_ps(M[2][2]) * (Tm3v - Tv);
temp2W = Tv + _mm_set1_ps(M[1][0]) * (Rv - Tv) + _mm_set1_ps(M[1][1]) * (Tm2v - Tv) + _mm_set1_ps(M[1][2]) * (Tm3v - Tv);
Rv = Tv + _mm_set1_ps(M[0][0]) * (Rv - Tv) + _mm_set1_ps(M[0][1]) * (Tm2v - Tv) + _mm_set1_ps(M[0][2]) * (Tm3v - Tv);
_mm_storeu_ps( &dst[H - 1][i], Rv );
Tm2v = Bv * Tm2v + b1v * Rv + b2v * temp2W + b3v * temp2Wp1;
_mm_storeu_ps( &dst[H - 2][i], Tm2v );
Tm3v = Bv * Tm3v + b1v * Tm2v + b2v * Rv + b3v * temp2W;
_mm_storeu_ps( &dst[H - 3][i], Tm3v );
Tv = Rv;
Rv = Tm3v;
Tm3v = Tv;
for (int j = H - 4; j >= 0; j--) {
Tv = Rv;
Rv = _mm_load_ps(&tmp[j][0]) * Bv + Tv * b1v + Tm2v * b2v + Tm3v * b3v;
_mm_storeu_ps( &dst[j][i], Rv );
Tm3v = Tm2v;
Tm2v = Tv;
}
}
// Borders are done without SSE
#ifdef _OPENMP
#pragma omp for
#endif
for (int i = W - (W % 4); i < W; i++) {
tmp[0][0] = B * src[0][i] + b1 * src[0][i] + b2 * src[0][i] + b3 * src[0][i];
tmp[1][0] = B * src[1][i] + b1 * tmp[0][0] + b2 * src[0][i] + b3 * src[0][i];
tmp[2][0] = B * src[2][i] + b1 * tmp[1][0] + b2 * tmp[0][0] + b3 * src[0][i];
for (int j = 3; j < H; j++) {
tmp[j][0] = B * src[j][i] + b1 * tmp[j - 1][0] + b2 * tmp[j - 2][0] + b3 * tmp[j - 3][0];
}
float temp2Hm1 = src[H - 1][i] + M[0][0] * (tmp[H - 1][0] - src[H - 1][i]) + M[0][1] * (tmp[H - 2][0] - src[H - 1][i]) + M[0][2] * (tmp[H - 3][0] - src[H - 1][i]);
float temp2H = src[H - 1][i] + M[1][0] * (tmp[H - 1][0] - src[H - 1][i]) + M[1][1] * (tmp[H - 2][0] - src[H - 1][i]) + M[1][2] * (tmp[H - 3][0] - src[H - 1][i]);
float temp2Hp1 = src[H - 1][i] + M[2][0] * (tmp[H - 1][0] - src[H - 1][i]) + M[2][1] * (tmp[H - 2][0] - src[H - 1][i]) + M[2][2] * (tmp[H - 3][0] - src[H - 1][i]);
tmp[H - 1][0] = temp2Hm1;
tmp[H - 2][0] = B * tmp[H - 2][0] + b1 * tmp[H - 1][0] + b2 * temp2H + b3 * temp2Hp1;
tmp[H - 3][0] = B * tmp[H - 3][0] + b1 * tmp[H - 2][0] + b2 * tmp[H - 1][0] + b3 * temp2H;
for (int j = H - 4; j >= 0; j--) {
tmp[j][0] = B * tmp[j][0] + b1 * tmp[j + 1][0] + b2 * tmp[j + 2][0] + b3 * tmp[j + 3][0];
}
for (int j = 0; j < H; j++) {
dst[j][i] = tmp[j][0];
}
}
}
#endif
template<class T> void gaussVertical (T** src, T** dst, AlignedBufferMP<double> &buffer, int W, int H, double sigma)
{
#ifdef __SSE__
if (sigma < 70) { // bigger sigma only with double precision
gaussVerticalSse<T> (src, dst, W, H, sigma);
return;
}
#endif
if (sigma < 0.25) {
// don't perform filtering
if (src != dst)
#ifdef _OPENMP
#pragma omp for
#endif
for (int i = 0; i < H; i++) {
memcpy (dst[i], src[i], W * sizeof(T));
}
return;
}
if (sigma < 0.6) {
// compute 3x3 kernel
double c1 = exp (-1.0 / (2.0 * sigma * sigma));
double csum = 2.0 * c1 + 1.0;
c1 /= csum;
double c0 = 1.0 / csum;
gaussVertical3<T> (src, dst, buffer, W, H, c0, c1);
return;
}
// coefficient calculation
double q = 0.98711 * sigma - 0.96330;
if (sigma < 2.5) {
q = 3.97156 - 4.14554 * sqrt (1.0 - 0.26891 * sigma);
}
double b0 = 1.57825 + 2.44413 * q + 1.4281 * q * q + 0.422205 * q * q * q;
double b1 = 2.44413 * q + 2.85619 * q * q + 1.26661 * q * q * q;
double b2 = -1.4281 * q * q - 1.26661 * q * q * q;
double b3 = 0.422205 * q * q * q;
double B = 1.0 - (b1 + b2 + b3) / b0;
b1 /= b0;
b2 /= b0;
b3 /= b0;
// From: Bill Triggs, Michael Sdika: Boundary Conditions for Young-van Vliet Recursive Filtering
double M[3][3];
M[0][0] = -b3 * b1 + 1.0 - b3 * b3 - b2;
M[0][1] = (b3 + b1) * (b2 + b3 * b1);
M[0][2] = b3 * (b1 + b3 * b2);
M[1][0] = b1 + b3 * b2;
M[1][1] = -(b2 - 1.0) * (b2 + b3 * b1);
M[1][2] = -(b3 * b1 + b3 * b3 + b2 - 1.0) * b3;
M[2][0] = b3 * b1 + b2 + b1 * b1 - b2 * b2;
M[2][1] = b1 * b2 + b3 * b2 * b2 - b1 * b3 * b3 - b3 * b3 * b3 - b3 * b2 + b3;
M[2][2] = b3 * (b1 + b3 * b2);
for (int i = 0; i < 3; i++)
for (int j = 0; j < 3; j++) {
M[i][j] /= (1.0 + b1 - b2 + b3) * (1.0 + b2 + (b1 - b3) * b3);
}
// process 'numcols' columns for better usage of L1 cpu cache (especially faster for large values of H)
static const int numcols = 4;
double temp2[H][numcols] ALIGNED16;
double temp2Hm1[numcols], temp2H[numcols], temp2Hp1[numcols];
#ifdef _OPENMP
#pragma omp for nowait
#endif
for (int i = 0; i < W - numcols + 1; i += numcols) {
for (int k = 0; k < numcols; k++) {
temp2[0][k] = B * src[0][i + k] + b1 * src[0][i + k] + b2 * src[0][i + k] + b3 * src[0][i + k];
temp2[1][k] = B * src[1][i + k] + b1 * temp2[0][k] + b2 * src[0][i + k] + b3 * src[0][i + k];
temp2[2][k] = B * src[2][i + k] + b1 * temp2[1][k] + b2 * temp2[0][k] + b3 * src[0][i + k];
}
for (int j = 3; j < H; j++) {
for (int k = 0; k < numcols; k++) {
temp2[j][k] = B * src[j][i + k] + b1 * temp2[j - 1][k] + b2 * temp2[j - 2][k] + b3 * temp2[j - 3][k];
}
}
for (int k = 0; k < numcols; k++) {
temp2Hm1[k] = src[H - 1][i + k] + M[0][0] * (temp2[H - 1][k] - src[H - 1][i + k]) + M[0][1] * (temp2[H - 2][k] - src[H - 1][i + k]) + M[0][2] * (temp2[H - 3][k] - src[H - 1][i + k]);
temp2H[k] = src[H - 1][i + k] + M[1][0] * (temp2[H - 1][k] - src[H - 1][i + k]) + M[1][1] * (temp2[H - 2][k] - src[H - 1][i + k]) + M[1][2] * (temp2[H - 3][k] - src[H - 1][i + k]);
temp2Hp1[k] = src[H - 1][i + k] + M[2][0] * (temp2[H - 1][k] - src[H - 1][i + k]) + M[2][1] * (temp2[H - 2][k] - src[H - 1][i + k]) + M[2][2] * (temp2[H - 3][k] - src[H - 1][i + k]);
}
for (int k = 0; k < numcols; k++) {
temp2[H - 1][k] = temp2Hm1[k];
temp2[H - 2][k] = B * temp2[H - 2][k] + b1 * temp2[H - 1][k] + b2 * temp2H[k] + b3 * temp2Hp1[k];
temp2[H - 3][k] = B * temp2[H - 3][k] + b1 * temp2[H - 2][k] + b2 * temp2[H - 1][k] + b3 * temp2H[k];
}
for (int j = H - 4; j >= 0; j--) {
for (int k = 0; k < numcols; k++) {
temp2[j][k] = B * temp2[j][k] + b1 * temp2[j + 1][k] + b2 * temp2[j + 2][k] + b3 * temp2[j + 3][k];
}
}
for (int j = 0; j < H; j++) {
for (int k = 0; k < numcols; k++) {
dst[j][i + k] = (T)temp2[j][k];
}
}
}
#ifdef _OPENMP
#pragma omp single
#endif
// process remaining column
for (int i = W - (W % numcols); i < W; i++) {
temp2[0][0] = B * src[0][i] + b1 * src[0][i] + b2 * src[0][i] + b3 * src[0][i];
temp2[1][0] = B * src[1][i] + b1 * temp2[0][0] + b2 * src[0][i] + b3 * src[0][i];
temp2[2][0] = B * src[2][i] + b1 * temp2[1][0] + b2 * temp2[0][0] + b3 * src[0][i];
for (int j = 3; j < H; j++) {
temp2[j][0] = B * src[j][i] + b1 * temp2[j - 1][0] + b2 * temp2[j - 2][0] + b3 * temp2[j - 3][0];
}
double temp2Hm1 = src[H - 1][i] + M[0][0] * (temp2[H - 1][0] - src[H - 1][i]) + M[0][1] * (temp2[H - 2][0] - src[H - 1][i]) + M[0][2] * (temp2[H - 3][0] - src[H - 1][i]);
double temp2H = src[H - 1][i] + M[1][0] * (temp2[H - 1][0] - src[H - 1][i]) + M[1][1] * (temp2[H - 2][0] - src[H - 1][i]) + M[1][2] * (temp2[H - 3][0] - src[H - 1][i]);
double temp2Hp1 = src[H - 1][i] + M[2][0] * (temp2[H - 1][0] - src[H - 1][i]) + M[2][1] * (temp2[H - 2][0] - src[H - 1][i]) + M[2][2] * (temp2[H - 3][0] - src[H - 1][i]);
temp2[H - 1][0] = temp2Hm1;
temp2[H - 2][0] = B * temp2[H - 2][0] + b1 * temp2[H - 1][0] + b2 * temp2H + b3 * temp2Hp1;
temp2[H - 3][0] = B * temp2[H - 3][0] + b1 * temp2[H - 2][0] + b2 * temp2[H - 1][0] + b3 * temp2H;
for (int j = H - 4; j >= 0; j--) {
temp2[j][0] = B * temp2[j][0] + b1 * temp2[j + 1][0] + b2 * temp2[j + 2][0] + b3 * temp2[j + 3][0];
}
for (int j = 0; j < H; j++) {
dst[j][i] = (T)temp2[j][0];
}
}
}
//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
template<class T> void gaussDerivH (T** src, T** dst, AlignedBufferMP<double> &buffer, int W, int H, double sigma)
{
if (sigma < 0.6) {
// apply symmetric derivative
#ifdef _OPENMP
#pragma omp for
#endif
for (int i = 0; i < H; i++) {
AlignedBuffer<double>* pBuf = buffer.acquire();
T* temp = (T*)pBuf->data;
// double* temp = buffer->data;// replaced by 2 lines above
for (int j = 1; j < W - 1; j++) {
temp[j] = (0.5 * (src[i][j + 1] - src[i][j - 1]) );
}
dst[i][0] = (src[i][1] - src[i][0]);
//memcpy (dst[i]+1, temp+1, (W-2)*sizeof(T));
for (int j = 1; j < W - 1; j++) {
dst[i][j] = temp[j];
}
buffer.release(pBuf);
dst[i][W - 1] = (src[i][W - 1] - src[i][W - 2]);
}
return;
}
// coefficient calculation
double q = 0.98711 * sigma - 0.96330;
if (sigma < 2.5) {
q = 3.97156 - 4.14554 * sqrt (1.0 - 0.26891 * sigma);
}
double b0 = 1.57825 + 2.44413 * q + 1.4281 * q * q + 0.422205 * q * q * q;
double b1 = 2.44413 * q + 2.85619 * q * q + 1.26661 * q * q * q;
double b2 = -1.4281 * q * q - 1.26661 * q * q * q;
double b3 = 0.422205 * q * q * q;
double B = 1.0 - (b1 + b2 + b3) / b0;
b1 /= b0;
b2 /= b0;
b3 /= b0;
// From: Bill Triggs, Michael Sdika: Boundary Conditions for Young-van Vliet Recursive Filtering
double M[3][3];
M[0][0] = -b3 * b1 + 1.0 - b3 * b3 - b2;
M[0][1] = (b3 + b1) * (b2 + b3 * b1);
M[0][2] = b3 * (b1 + b3 * b2);
M[1][0] = b1 + b3 * b2;
M[1][1] = -(b2 - 1.0) * (b2 + b3 * b1);
M[1][2] = -(b3 * b1 + b3 * b3 + b2 - 1.0) * b3;
M[2][0] = b3 * b1 + b2 + b1 * b1 - b2 * b2;
M[2][1] = b1 * b2 + b3 * b2 * b2 - b1 * b3 * b3 - b3 * b3 * b3 - b3 * b2 + b3;
M[2][2] = b3 * (b1 + b3 * b2);
for (int i = 0; i < 3; i++)
for (int j = 0; j < 3; j++) {
M[i][j] /= (1.0 + b1 - b2 + b3) * (1.0 + b2 + (b1 - b3) * b3);
}
#pragma omp for
for (int i = 0; i < H; i++) {
AlignedBuffer<double>* pBuf = buffer.acquire();
T* temp2 = (T*)pBuf->data;
// double* temp2 = buffer->data;// replaced by 2 lines above
double src0 = (src[i][1] - src[i][0]);
temp2[0] = B * src0 + b1 * src0 + b2 * src0 + b3 * src0;
temp2[1] = B * 0.5 * (src[i][2] - src[i][0]) + b1 * temp2[0] + b2 * src0 + b3 * src0;
temp2[2] = B * 0.5 * (src[i][3] - src[i][1]) + b1 * temp2[1] + b2 * temp2[0] + b3 * src0;
for (int j = 3; j < W - 1; j++) {
temp2[j] = B * 0.5 * (src[i][j + 1] - src[i][j - 1]) + b1 * temp2[j - 1] + b2 * temp2[j - 2] + b3 * temp2[j - 3];
}
double srcWm1 = (src[i][W - 1] - src[i][W - 2]);
temp2[W - 1] = B * srcWm1 + b1 * temp2[W - 2] + b2 * temp2[W - 3] + b3 * temp2[W - 4];
double temp2Wm1 = srcWm1 + M[0][0] * (temp2[W - 1] - srcWm1) + M[0][1] * (temp2[W - 2] - srcWm1) + M[0][2] * (temp2[W - 3] - srcWm1);
double temp2W = srcWm1 + M[1][0] * (temp2[W - 1] - srcWm1) + M[1][1] * (temp2[W - 2] - srcWm1) + M[1][2] * (temp2[W - 3] - srcWm1);
double temp2Wp1 = srcWm1 + M[2][0] * (temp2[W - 1] - srcWm1) + M[2][1] * (temp2[W - 2] - srcWm1) + M[2][2] * (temp2[W - 3] - srcWm1);
temp2[W - 1] = temp2Wm1;
temp2[W - 2] = B * temp2[W - 2] + b1 * temp2[W - 1] + b2 * temp2W + b3 * temp2Wp1;
temp2[W - 3] = B * temp2[W - 3] + b1 * temp2[W - 2] + b2 * temp2[W - 1] + b3 * temp2W;
for (int j = W - 4; j >= 0; j--) {
temp2[j] = B * temp2[j] + b1 * temp2[j + 1] + b2 * temp2[j + 2] + b3 * temp2[j + 3];
}
for (int j = 0; j < W; j++) {
dst[i][j] = (T)temp2[j];
}
buffer.release(pBuf);
}
}
//%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
template<class T> void gaussDerivV (T** src, T** dst, AlignedBufferMP<double> &buffer, int W, int H, double sigma)
{
if (sigma < 0.6) {
// apply symmetric derivative
#ifdef _OPENMP
#pragma omp for
#endif
for (int j = 0; j < W; j++) {
AlignedBuffer<double>* pBuf = buffer.acquire();
T* temp = (T*)pBuf->data;
// double* temp = buffer->data;// replaced by 2 lines above
for (int i = 1; i < H - 1; i++) {
temp[i] = (0.5 * (src[i + 1][j] - src[i - 1][j]) );
}
dst[0][j] = (src[1][j] - src[0][j]);
for (int i = 1; i < H - 1; i++) {
dst[i][j] = temp[i];
}
buffer.release(pBuf);
dst[H - 1][j] = (src[H - 1][j] - src[H - 2][j]);
}
return;
}
// coefficient calculation
double q = 0.98711 * sigma - 0.96330;
if (sigma < 2.5) {
q = 3.97156 - 4.14554 * sqrt (1.0 - 0.26891 * sigma);
}
double b0 = 1.57825 + 2.44413 * q + 1.4281 * q * q + 0.422205 * q * q * q;
double b1 = 2.44413 * q + 2.85619 * q * q + 1.26661 * q * q * q;
double b2 = -1.4281 * q * q - 1.26661 * q * q * q;
double b3 = 0.422205 * q * q * q;
double B = 1.0 - (b1 + b2 + b3) / b0;
b1 /= b0;
b2 /= b0;
b3 /= b0;
// From: Bill Triggs, Michael Sdika: Boundary Conditions for Young-van Vliet Recursive Filtering
double M[3][3];
M[0][0] = -b3 * b1 + 1.0 - b3 * b3 - b2;
M[0][1] = (b3 + b1) * (b2 + b3 * b1);
M[0][2] = b3 * (b1 + b3 * b2);
M[1][0] = b1 + b3 * b2;
M[1][1] = -(b2 - 1.0) * (b2 + b3 * b1);
M[1][2] = -(b3 * b1 + b3 * b3 + b2 - 1.0) * b3;
M[2][0] = b3 * b1 + b2 + b1 * b1 - b2 * b2;
M[2][1] = b1 * b2 + b3 * b2 * b2 - b1 * b3 * b3 - b3 * b3 * b3 - b3 * b2 + b3;
M[2][2] = b3 * (b1 + b3 * b2);
for (int i = 0; i < 3; i++)
for (int j = 0; j < 3; j++) {
M[i][j] /= (1.0 + b1 - b2 + b3) * (1.0 + b2 + (b1 - b3) * b3);
}
#ifdef _OPENMP
#pragma omp for
#endif
for (int i = 0; i < W; i++) {
AlignedBuffer<double>* pBuf = buffer.acquire();
T* temp2 = (T*)pBuf->data;
// double* temp2 = buffer->data;// replaced by 2 lines above
double src0 = 0.5 * (src[1][i] - src[0][i]);
temp2[0] = B * src0 + b1 * src0 + b2 * src0 + b3 * src0;
temp2[1] = B * 0.5 * (src[2][i] - src[0][i]) + b1 * temp2[0] + b2 * src0 + b3 * src0;
temp2[2] = B * 0.5 * (src[3][i] - src[1][i]) + b1 * temp2[1] + b2 * temp2[0] + b3 * src0;
for (int j = 3; j < H - 1; j++) {
temp2[j] = B * 0.5 * (src[j + 1][i] - src[j - 1][i]) + b1 * temp2[j - 1] + b2 * temp2[j - 2] + b3 * temp2[j - 3];
}
double srcHm1 = 0.5 * (src[H - 1][i] - src[H - 2][i]);
temp2[H - 1] = B * srcHm1 + b1 * temp2[H - 2] + b2 * temp2[H - 3] + b3 * temp2[H - 4];
double temp2Hm1 = srcHm1 + M[0][0] * (temp2[H - 1] - srcHm1) + M[0][1] * (temp2[H - 2] - srcHm1) + M[0][2] * (temp2[H - 3] - srcHm1);
double temp2H = srcHm1 + M[1][0] * (temp2[H - 1] - srcHm1) + M[1][1] * (temp2[H - 2] - srcHm1) + M[1][2] * (temp2[H - 3] - srcHm1);
double temp2Hp1 = srcHm1 + M[2][0] * (temp2[H - 1] - srcHm1) + M[2][1] * (temp2[H - 2] - srcHm1) + M[2][2] * (temp2[H - 3] - srcHm1);
temp2[H - 1] = temp2Hm1;
temp2[H - 2] = B * temp2[H - 2] + b1 * temp2[H - 1] + b2 * temp2H + b3 * temp2Hp1;
temp2[H - 3] = B * temp2[H - 3] + b1 * temp2[H - 2] + b2 * temp2[H - 1] + b3 * temp2H;
for (int j = H - 4; j >= 0; j--) {
temp2[j] = B * temp2[j] + b1 * temp2[j + 1] + b2 * temp2[j + 2] + b3 * temp2[j + 3];
}
for (int j = 0; j < H; j++) {
dst[j][i] = (T)temp2[j];
}
buffer.release(pBuf);
}
}
#endif