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filter.cpp
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filter.cpp
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "precomp.hpp"
#include "opencv2/core/opencl/ocl_defs.hpp"
#include "opencl_kernels_imgproc.hpp"
#include "hal_replacement.hpp"
#include "filter.hpp"
/****************************************************************************************\
Base Image Filter
\****************************************************************************************/
#if IPP_VERSION_X100 >= 710
#define USE_IPP_SEP_FILTERS 1
#else
#undef USE_IPP_SEP_FILTERS
#endif
namespace cv
{
BaseRowFilter::BaseRowFilter() { ksize = anchor = -1; }
BaseRowFilter::~BaseRowFilter() {}
BaseColumnFilter::BaseColumnFilter() { ksize = anchor = -1; }
BaseColumnFilter::~BaseColumnFilter() {}
void BaseColumnFilter::reset() {}
BaseFilter::BaseFilter() { ksize = Size(-1,-1); anchor = Point(-1,-1); }
BaseFilter::~BaseFilter() {}
void BaseFilter::reset() {}
FilterEngine::FilterEngine()
: srcType(-1), dstType(-1), bufType(-1), maxWidth(0), wholeSize(-1, -1), dx1(0), dx2(0),
rowBorderType(BORDER_REPLICATE), columnBorderType(BORDER_REPLICATE),
borderElemSize(0), bufStep(0), startY(0), startY0(0), endY(0), rowCount(0), dstY(0)
{
}
FilterEngine::FilterEngine( const Ptr<BaseFilter>& _filter2D,
const Ptr<BaseRowFilter>& _rowFilter,
const Ptr<BaseColumnFilter>& _columnFilter,
int _srcType, int _dstType, int _bufType,
int _rowBorderType, int _columnBorderType,
const Scalar& _borderValue )
: srcType(-1), dstType(-1), bufType(-1), maxWidth(0), wholeSize(-1, -1), dx1(0), dx2(0),
rowBorderType(BORDER_REPLICATE), columnBorderType(BORDER_REPLICATE),
borderElemSize(0), bufStep(0), startY(0), startY0(0), endY(0), rowCount(0), dstY(0)
{
init(_filter2D, _rowFilter, _columnFilter, _srcType, _dstType, _bufType,
_rowBorderType, _columnBorderType, _borderValue);
}
FilterEngine::~FilterEngine()
{
}
void FilterEngine::init( const Ptr<BaseFilter>& _filter2D,
const Ptr<BaseRowFilter>& _rowFilter,
const Ptr<BaseColumnFilter>& _columnFilter,
int _srcType, int _dstType, int _bufType,
int _rowBorderType, int _columnBorderType,
const Scalar& _borderValue )
{
_srcType = CV_MAT_TYPE(_srcType);
_bufType = CV_MAT_TYPE(_bufType);
_dstType = CV_MAT_TYPE(_dstType);
srcType = _srcType;
int srcElemSize = (int)getElemSize(srcType);
dstType = _dstType;
bufType = _bufType;
filter2D = _filter2D;
rowFilter = _rowFilter;
columnFilter = _columnFilter;
if( _columnBorderType < 0 )
_columnBorderType = _rowBorderType;
rowBorderType = _rowBorderType;
columnBorderType = _columnBorderType;
CV_Assert( columnBorderType != BORDER_WRAP );
if( isSeparable() )
{
CV_Assert( rowFilter && columnFilter );
ksize = Size(rowFilter->ksize, columnFilter->ksize);
anchor = Point(rowFilter->anchor, columnFilter->anchor);
}
else
{
CV_Assert( bufType == srcType );
ksize = filter2D->ksize;
anchor = filter2D->anchor;
}
CV_Assert( 0 <= anchor.x && anchor.x < ksize.width &&
0 <= anchor.y && anchor.y < ksize.height );
borderElemSize = srcElemSize/(CV_MAT_DEPTH(srcType) >= CV_32S ? sizeof(int) : 1);
int borderLength = std::max(ksize.width - 1, 1);
borderTab.resize(borderLength*borderElemSize);
maxWidth = bufStep = 0;
constBorderRow.clear();
if( rowBorderType == BORDER_CONSTANT || columnBorderType == BORDER_CONSTANT )
{
constBorderValue.resize(srcElemSize*borderLength);
int srcType1 = CV_MAKETYPE(CV_MAT_DEPTH(srcType), MIN(CV_MAT_CN(srcType), 4));
scalarToRawData(_borderValue, &constBorderValue[0], srcType1,
borderLength*CV_MAT_CN(srcType));
}
wholeSize = Size(-1,-1);
}
#define VEC_ALIGN CV_MALLOC_ALIGN
int FilterEngine::start(const Size &_wholeSize, const Size &sz, const Point &ofs)
{
int i, j;
wholeSize = _wholeSize;
roi = Rect(ofs, sz);
CV_Assert( roi.x >= 0 && roi.y >= 0 && roi.width >= 0 && roi.height >= 0 &&
roi.x + roi.width <= wholeSize.width &&
roi.y + roi.height <= wholeSize.height );
int esz = (int)getElemSize(srcType);
int bufElemSize = (int)getElemSize(bufType);
const uchar* constVal = !constBorderValue.empty() ? &constBorderValue[0] : 0;
int _maxBufRows = std::max(ksize.height + 3,
std::max(anchor.y,
ksize.height-anchor.y-1)*2+1);
if( maxWidth < roi.width || _maxBufRows != (int)rows.size() )
{
rows.resize(_maxBufRows);
maxWidth = std::max(maxWidth, roi.width);
int cn = CV_MAT_CN(srcType);
srcRow.resize(esz*(maxWidth + ksize.width - 1));
if( columnBorderType == BORDER_CONSTANT )
{
CV_Assert(constVal != NULL);
constBorderRow.resize(getElemSize(bufType)*(maxWidth + ksize.width - 1 + VEC_ALIGN));
uchar *dst = alignPtr(&constBorderRow[0], VEC_ALIGN), *tdst;
int n = (int)constBorderValue.size(), N;
N = (maxWidth + ksize.width - 1)*esz;
tdst = isSeparable() ? &srcRow[0] : dst;
for( i = 0; i < N; i += n )
{
n = std::min( n, N - i );
for(j = 0; j < n; j++)
tdst[i+j] = constVal[j];
}
if( isSeparable() )
(*rowFilter)(&srcRow[0], dst, maxWidth, cn);
}
int maxBufStep = bufElemSize*(int)alignSize(maxWidth +
(!isSeparable() ? ksize.width - 1 : 0),VEC_ALIGN);
ringBuf.resize(maxBufStep*rows.size()+VEC_ALIGN);
}
// adjust bufstep so that the used part of the ring buffer stays compact in memory
bufStep = bufElemSize*(int)alignSize(roi.width + (!isSeparable() ? ksize.width - 1 : 0),16);
dx1 = std::max(anchor.x - roi.x, 0);
dx2 = std::max(ksize.width - anchor.x - 1 + roi.x + roi.width - wholeSize.width, 0);
// recompute border tables
if( dx1 > 0 || dx2 > 0 )
{
if( rowBorderType == BORDER_CONSTANT )
{
CV_Assert(constVal != NULL);
int nr = isSeparable() ? 1 : (int)rows.size();
for( i = 0; i < nr; i++ )
{
uchar* dst = isSeparable() ? &srcRow[0] : alignPtr(&ringBuf[0],VEC_ALIGN) + bufStep*i;
memcpy( dst, constVal, dx1*esz );
memcpy( dst + (roi.width + ksize.width - 1 - dx2)*esz, constVal, dx2*esz );
}
}
else
{
int xofs1 = std::min(roi.x, anchor.x) - roi.x;
int btab_esz = borderElemSize, wholeWidth = wholeSize.width;
int* btab = (int*)&borderTab[0];
for( i = 0; i < dx1; i++ )
{
int p0 = (borderInterpolate(i-dx1, wholeWidth, rowBorderType) + xofs1)*btab_esz;
for( j = 0; j < btab_esz; j++ )
btab[i*btab_esz + j] = p0 + j;
}
for( i = 0; i < dx2; i++ )
{
int p0 = (borderInterpolate(wholeWidth + i, wholeWidth, rowBorderType) + xofs1)*btab_esz;
for( j = 0; j < btab_esz; j++ )
btab[(i + dx1)*btab_esz + j] = p0 + j;
}
}
}
rowCount = dstY = 0;
startY = startY0 = std::max(roi.y - anchor.y, 0);
endY = std::min(roi.y + roi.height + ksize.height - anchor.y - 1, wholeSize.height);
if( columnFilter )
columnFilter->reset();
if( filter2D )
filter2D->reset();
return startY;
}
int FilterEngine::start(const Mat& src, const Size &wsz, const Point &ofs)
{
start( wsz, src.size(), ofs);
return startY - ofs.y;
}
int FilterEngine::remainingInputRows() const
{
return endY - startY - rowCount;
}
int FilterEngine::remainingOutputRows() const
{
return roi.height - dstY;
}
int FilterEngine::proceed( const uchar* src, int srcstep, int count,
uchar* dst, int dststep )
{
CV_Assert( wholeSize.width > 0 && wholeSize.height > 0 );
const int *btab = &borderTab[0];
int esz = (int)getElemSize(srcType), btab_esz = borderElemSize;
uchar** brows = &rows[0];
int bufRows = (int)rows.size();
int cn = CV_MAT_CN(bufType);
int width = roi.width, kwidth = ksize.width;
int kheight = ksize.height, ay = anchor.y;
int _dx1 = dx1, _dx2 = dx2;
int width1 = roi.width + kwidth - 1;
int xofs1 = std::min(roi.x, anchor.x);
bool isSep = isSeparable();
bool makeBorder = (_dx1 > 0 || _dx2 > 0) && rowBorderType != BORDER_CONSTANT;
int dy = 0, i = 0;
src -= xofs1*esz;
count = std::min(count, remainingInputRows());
CV_Assert( src && dst && count > 0 );
for(;; dst += dststep*i, dy += i)
{
int dcount = bufRows - ay - startY - rowCount + roi.y;
dcount = dcount > 0 ? dcount : bufRows - kheight + 1;
dcount = std::min(dcount, count);
count -= dcount;
for( ; dcount-- > 0; src += srcstep )
{
int bi = (startY - startY0 + rowCount) % bufRows;
uchar* brow = alignPtr(&ringBuf[0], VEC_ALIGN) + bi*bufStep;
uchar* row = isSep ? &srcRow[0] : brow;
if( ++rowCount > bufRows )
{
--rowCount;
++startY;
}
memcpy( row + _dx1*esz, src, (width1 - _dx2 - _dx1)*esz );
if( makeBorder )
{
if( btab_esz*(int)sizeof(int) == esz )
{
const int* isrc = (const int*)src;
int* irow = (int*)row;
for( i = 0; i < _dx1*btab_esz; i++ )
irow[i] = isrc[btab[i]];
for( i = 0; i < _dx2*btab_esz; i++ )
irow[i + (width1 - _dx2)*btab_esz] = isrc[btab[i+_dx1*btab_esz]];
}
else
{
for( i = 0; i < _dx1*esz; i++ )
row[i] = src[btab[i]];
for( i = 0; i < _dx2*esz; i++ )
row[i + (width1 - _dx2)*esz] = src[btab[i+_dx1*esz]];
}
}
if( isSep )
(*rowFilter)(row, brow, width, CV_MAT_CN(srcType));
}
int max_i = std::min(bufRows, roi.height - (dstY + dy) + (kheight - 1));
for( i = 0; i < max_i; i++ )
{
int srcY = borderInterpolate(dstY + dy + i + roi.y - ay,
wholeSize.height, columnBorderType);
if( srcY < 0 ) // can happen only with constant border type
brows[i] = alignPtr(&constBorderRow[0], VEC_ALIGN);
else
{
CV_Assert( srcY >= startY );
if( srcY >= startY + rowCount )
break;
int bi = (srcY - startY0) % bufRows;
brows[i] = alignPtr(&ringBuf[0], VEC_ALIGN) + bi*bufStep;
}
}
if( i < kheight )
break;
i -= kheight - 1;
if( isSeparable() )
(*columnFilter)((const uchar**)brows, dst, dststep, i, roi.width*cn);
else
(*filter2D)((const uchar**)brows, dst, dststep, i, roi.width, cn);
}
dstY += dy;
CV_Assert( dstY <= roi.height );
return dy;
}
void FilterEngine::apply(const Mat& src, Mat& dst, const Size & wsz, const Point & ofs)
{
CV_INSTRUMENT_REGION()
CV_Assert( src.type() == srcType && dst.type() == dstType );
int y = start(src, wsz, ofs);
proceed(src.ptr() + y*src.step,
(int)src.step,
endY - startY,
dst.ptr(),
(int)dst.step );
}
}
/****************************************************************************************\
* Separable linear filter *
\****************************************************************************************/
int cv::getKernelType(InputArray filter_kernel, Point anchor)
{
Mat _kernel = filter_kernel.getMat();
CV_Assert( _kernel.channels() == 1 );
int i, sz = _kernel.rows*_kernel.cols;
Mat kernel;
_kernel.convertTo(kernel, CV_64F);
const double* coeffs = kernel.ptr<double>();
double sum = 0;
int type = KERNEL_SMOOTH + KERNEL_INTEGER;
if( (_kernel.rows == 1 || _kernel.cols == 1) &&
anchor.x*2 + 1 == _kernel.cols &&
anchor.y*2 + 1 == _kernel.rows )
type |= (KERNEL_SYMMETRICAL + KERNEL_ASYMMETRICAL);
for( i = 0; i < sz; i++ )
{
double a = coeffs[i], b = coeffs[sz - i - 1];
if( a != b )
type &= ~KERNEL_SYMMETRICAL;
if( a != -b )
type &= ~KERNEL_ASYMMETRICAL;
if( a < 0 )
type &= ~KERNEL_SMOOTH;
if( a != saturate_cast<int>(a) )
type &= ~KERNEL_INTEGER;
sum += a;
}
if( fabs(sum - 1) > FLT_EPSILON*(fabs(sum) + 1) )
type &= ~KERNEL_SMOOTH;
return type;
}
namespace cv
{
struct RowNoVec
{
RowNoVec() {}
RowNoVec(const Mat&) {}
int operator()(const uchar*, uchar*, int, int) const { return 0; }
};
struct ColumnNoVec
{
ColumnNoVec() {}
ColumnNoVec(const Mat&, int, int, double) {}
int operator()(const uchar**, uchar*, int) const { return 0; }
};
struct SymmRowSmallNoVec
{
SymmRowSmallNoVec() {}
SymmRowSmallNoVec(const Mat&, int) {}
int operator()(const uchar*, uchar*, int, int) const { return 0; }
};
struct SymmColumnSmallNoVec
{
SymmColumnSmallNoVec() {}
SymmColumnSmallNoVec(const Mat&, int, int, double) {}
int operator()(const uchar**, uchar*, int) const { return 0; }
};
struct FilterNoVec
{
FilterNoVec() {}
FilterNoVec(const Mat&, int, double) {}
int operator()(const uchar**, uchar*, int) const { return 0; }
};
#if CV_SSE2
///////////////////////////////////// 8u-16s & 8u-8u //////////////////////////////////
struct RowVec_8u32s
{
RowVec_8u32s() { smallValues = false; }
RowVec_8u32s( const Mat& _kernel )
{
kernel = _kernel;
smallValues = true;
int k, ksize = kernel.rows + kernel.cols - 1;
for( k = 0; k < ksize; k++ )
{
int v = kernel.ptr<int>()[k];
if( v < SHRT_MIN || v > SHRT_MAX )
{
smallValues = false;
break;
}
}
}
int operator()(const uchar* _src, uchar* _dst, int width, int cn) const
{
if( !checkHardwareSupport(CV_CPU_SSE2) )
return 0;
int i = 0, k, _ksize = kernel.rows + kernel.cols - 1;
int* dst = (int*)_dst;
const int* _kx = kernel.ptr<int>();
width *= cn;
if( smallValues )
{
__m128i z = _mm_setzero_si128();
for( ; i <= width - 8; i += 8 )
{
const uchar* src = _src + i;
__m128i s0 = z, s1 = z;
for( k = 0; k < _ksize; k++, src += cn )
{
__m128i f = _mm_cvtsi32_si128(_kx[k]);
f = _mm_shuffle_epi32(f, 0);
__m128i x0 = _mm_loadl_epi64((const __m128i*)src);
x0 = _mm_unpacklo_epi8(x0, z);
__m128i x1 = _mm_unpackhi_epi16(x0, z);
x0 = _mm_unpacklo_epi16(x0, z);
x0 = _mm_madd_epi16(x0, f);
x1 = _mm_madd_epi16(x1, f);
s0 = _mm_add_epi32(s0, x0);
s1 = _mm_add_epi32(s1, x1);
}
_mm_store_si128((__m128i*)(dst + i), s0);
_mm_store_si128((__m128i*)(dst + i + 4), s1);
}
if( i <= width - 4 )
{
const uchar* src = _src + i;
__m128i s0 = z;
for( k = 0; k < _ksize; k++, src += cn )
{
__m128i f = _mm_cvtsi32_si128(_kx[k]);
f = _mm_shuffle_epi32(f, 0);
__m128i x0 = _mm_cvtsi32_si128(*(const int*)src);
x0 = _mm_unpacklo_epi8(x0, z);
x0 = _mm_unpacklo_epi16(x0, z);
x0 = _mm_madd_epi16(x0, f);
s0 = _mm_add_epi32(s0, x0);
}
_mm_store_si128((__m128i*)(dst + i), s0);
i += 4;
}
}
return i;
}
Mat kernel;
bool smallValues;
};
struct SymmRowSmallVec_8u32s
{
SymmRowSmallVec_8u32s() { smallValues = false; symmetryType = 0; }
SymmRowSmallVec_8u32s( const Mat& _kernel, int _symmetryType )
{
kernel = _kernel;
symmetryType = _symmetryType;
smallValues = true;
int k, ksize = kernel.rows + kernel.cols - 1;
for( k = 0; k < ksize; k++ )
{
int v = kernel.ptr<int>()[k];
if( v < SHRT_MIN || v > SHRT_MAX )
{
smallValues = false;
break;
}
}
}
int operator()(const uchar* src, uchar* _dst, int width, int cn) const
{
if( !checkHardwareSupport(CV_CPU_SSE2) )
return 0;
int i = 0, j, k, _ksize = kernel.rows + kernel.cols - 1;
int* dst = (int*)_dst;
bool symmetrical = (symmetryType & KERNEL_SYMMETRICAL) != 0;
const int* kx = kernel.ptr<int>() + _ksize/2;
if( !smallValues )
return 0;
src += (_ksize/2)*cn;
width *= cn;
__m128i z = _mm_setzero_si128();
if( symmetrical )
{
if( _ksize == 1 )
return 0;
if( _ksize == 3 )
{
if( kx[0] == 2 && kx[1] == 1 )
for( ; i <= width - 16; i += 16, src += 16 )
{
__m128i x0, x1, x2, y0, y1, y2;
x0 = _mm_loadu_si128((__m128i*)(src - cn));
x1 = _mm_loadu_si128((__m128i*)src);
x2 = _mm_loadu_si128((__m128i*)(src + cn));
y0 = _mm_unpackhi_epi8(x0, z);
x0 = _mm_unpacklo_epi8(x0, z);
y1 = _mm_unpackhi_epi8(x1, z);
x1 = _mm_unpacklo_epi8(x1, z);
y2 = _mm_unpackhi_epi8(x2, z);
x2 = _mm_unpacklo_epi8(x2, z);
x0 = _mm_add_epi16(x0, _mm_add_epi16(_mm_add_epi16(x1, x1), x2));
y0 = _mm_add_epi16(y0, _mm_add_epi16(_mm_add_epi16(y1, y1), y2));
_mm_store_si128((__m128i*)(dst + i), _mm_unpacklo_epi16(x0, z));
_mm_store_si128((__m128i*)(dst + i + 4), _mm_unpackhi_epi16(x0, z));
_mm_store_si128((__m128i*)(dst + i + 8), _mm_unpacklo_epi16(y0, z));
_mm_store_si128((__m128i*)(dst + i + 12), _mm_unpackhi_epi16(y0, z));
}
else if( kx[0] == -2 && kx[1] == 1 )
for( ; i <= width - 16; i += 16, src += 16 )
{
__m128i x0, x1, x2, y0, y1, y2;
x0 = _mm_loadu_si128((__m128i*)(src - cn));
x1 = _mm_loadu_si128((__m128i*)src);
x2 = _mm_loadu_si128((__m128i*)(src + cn));
y0 = _mm_unpackhi_epi8(x0, z);
x0 = _mm_unpacklo_epi8(x0, z);
y1 = _mm_unpackhi_epi8(x1, z);
x1 = _mm_unpacklo_epi8(x1, z);
y2 = _mm_unpackhi_epi8(x2, z);
x2 = _mm_unpacklo_epi8(x2, z);
x0 = _mm_add_epi16(x0, _mm_sub_epi16(x2, _mm_add_epi16(x1, x1)));
y0 = _mm_add_epi16(y0, _mm_sub_epi16(y2, _mm_add_epi16(y1, y1)));
_mm_store_si128((__m128i*)(dst + i), _mm_srai_epi32(_mm_unpacklo_epi16(x0, x0),16));
_mm_store_si128((__m128i*)(dst + i + 4), _mm_srai_epi32(_mm_unpackhi_epi16(x0, x0),16));
_mm_store_si128((__m128i*)(dst + i + 8), _mm_srai_epi32(_mm_unpacklo_epi16(y0, y0),16));
_mm_store_si128((__m128i*)(dst + i + 12), _mm_srai_epi32(_mm_unpackhi_epi16(y0, y0),16));
}
else
{
__m128i k0 = _mm_shuffle_epi32(_mm_cvtsi32_si128(kx[0]), 0),
k1 = _mm_shuffle_epi32(_mm_cvtsi32_si128(kx[1]), 0);
k1 = _mm_packs_epi32(k1, k1);
for( ; i <= width - 8; i += 8, src += 8 )
{
__m128i x0 = _mm_loadl_epi64((__m128i*)(src - cn));
__m128i x1 = _mm_loadl_epi64((__m128i*)src);
__m128i x2 = _mm_loadl_epi64((__m128i*)(src + cn));
x0 = _mm_unpacklo_epi8(x0, z);
x1 = _mm_unpacklo_epi8(x1, z);
x2 = _mm_unpacklo_epi8(x2, z);
__m128i x3 = _mm_unpacklo_epi16(x0, x2);
__m128i x4 = _mm_unpackhi_epi16(x0, x2);
__m128i x5 = _mm_unpacklo_epi16(x1, z);
__m128i x6 = _mm_unpackhi_epi16(x1, z);
x3 = _mm_madd_epi16(x3, k1);
x4 = _mm_madd_epi16(x4, k1);
x5 = _mm_madd_epi16(x5, k0);
x6 = _mm_madd_epi16(x6, k0);
x3 = _mm_add_epi32(x3, x5);
x4 = _mm_add_epi32(x4, x6);
_mm_store_si128((__m128i*)(dst + i), x3);
_mm_store_si128((__m128i*)(dst + i + 4), x4);
}
}
}
else if( _ksize == 5 )
{
if( kx[0] == -2 && kx[1] == 0 && kx[2] == 1 )
for( ; i <= width - 16; i += 16, src += 16 )
{
__m128i x0, x1, x2, y0, y1, y2;
x0 = _mm_loadu_si128((__m128i*)(src - cn*2));
x1 = _mm_loadu_si128((__m128i*)src);
x2 = _mm_loadu_si128((__m128i*)(src + cn*2));
y0 = _mm_unpackhi_epi8(x0, z);
x0 = _mm_unpacklo_epi8(x0, z);
y1 = _mm_unpackhi_epi8(x1, z);
x1 = _mm_unpacklo_epi8(x1, z);
y2 = _mm_unpackhi_epi8(x2, z);
x2 = _mm_unpacklo_epi8(x2, z);
x0 = _mm_add_epi16(x0, _mm_sub_epi16(x2, _mm_add_epi16(x1, x1)));
y0 = _mm_add_epi16(y0, _mm_sub_epi16(y2, _mm_add_epi16(y1, y1)));
_mm_store_si128((__m128i*)(dst + i), _mm_srai_epi32(_mm_unpacklo_epi16(x0, x0),16));
_mm_store_si128((__m128i*)(dst + i + 4), _mm_srai_epi32(_mm_unpackhi_epi16(x0, x0),16));
_mm_store_si128((__m128i*)(dst + i + 8), _mm_srai_epi32(_mm_unpacklo_epi16(y0, y0),16));
_mm_store_si128((__m128i*)(dst + i + 12), _mm_srai_epi32(_mm_unpackhi_epi16(y0, y0),16));
}
else
{
__m128i k0 = _mm_shuffle_epi32(_mm_cvtsi32_si128(kx[0]), 0),
k1 = _mm_shuffle_epi32(_mm_cvtsi32_si128(kx[1]), 0),
k2 = _mm_shuffle_epi32(_mm_cvtsi32_si128(kx[2]), 0);
k1 = _mm_packs_epi32(k1, k1);
k2 = _mm_packs_epi32(k2, k2);
for( ; i <= width - 8; i += 8, src += 8 )
{
__m128i x0 = _mm_loadl_epi64((__m128i*)src);
x0 = _mm_unpacklo_epi8(x0, z);
__m128i x1 = _mm_unpacklo_epi16(x0, z);
__m128i x2 = _mm_unpackhi_epi16(x0, z);
x1 = _mm_madd_epi16(x1, k0);
x2 = _mm_madd_epi16(x2, k0);
__m128i x3 = _mm_loadl_epi64((__m128i*)(src - cn));
__m128i x4 = _mm_loadl_epi64((__m128i*)(src + cn));
x3 = _mm_unpacklo_epi8(x3, z);
x4 = _mm_unpacklo_epi8(x4, z);
__m128i x5 = _mm_unpacklo_epi16(x3, x4);
__m128i x6 = _mm_unpackhi_epi16(x3, x4);
x5 = _mm_madd_epi16(x5, k1);
x6 = _mm_madd_epi16(x6, k1);
x1 = _mm_add_epi32(x1, x5);
x2 = _mm_add_epi32(x2, x6);
x3 = _mm_loadl_epi64((__m128i*)(src - cn*2));
x4 = _mm_loadl_epi64((__m128i*)(src + cn*2));
x3 = _mm_unpacklo_epi8(x3, z);
x4 = _mm_unpacklo_epi8(x4, z);
x5 = _mm_unpacklo_epi16(x3, x4);
x6 = _mm_unpackhi_epi16(x3, x4);
x5 = _mm_madd_epi16(x5, k2);
x6 = _mm_madd_epi16(x6, k2);
x1 = _mm_add_epi32(x1, x5);
x2 = _mm_add_epi32(x2, x6);
_mm_store_si128((__m128i*)(dst + i), x1);
_mm_store_si128((__m128i*)(dst + i + 4), x2);
}
}
}
}
else
{
if( _ksize == 3 )
{
if( kx[0] == 0 && kx[1] == 1 )
for( ; i <= width - 16; i += 16, src += 16 )
{
__m128i x0, x1, y0;
x0 = _mm_loadu_si128((__m128i*)(src + cn));
x1 = _mm_loadu_si128((__m128i*)(src - cn));
y0 = _mm_sub_epi16(_mm_unpackhi_epi8(x0, z), _mm_unpackhi_epi8(x1, z));
x0 = _mm_sub_epi16(_mm_unpacklo_epi8(x0, z), _mm_unpacklo_epi8(x1, z));
_mm_store_si128((__m128i*)(dst + i), _mm_srai_epi32(_mm_unpacklo_epi16(x0, x0),16));
_mm_store_si128((__m128i*)(dst + i + 4), _mm_srai_epi32(_mm_unpackhi_epi16(x0, x0),16));
_mm_store_si128((__m128i*)(dst + i + 8), _mm_srai_epi32(_mm_unpacklo_epi16(y0, y0),16));
_mm_store_si128((__m128i*)(dst + i + 12), _mm_srai_epi32(_mm_unpackhi_epi16(y0, y0),16));
}
else
{
__m128i k0 = _mm_set_epi32(-kx[1], kx[1], -kx[1], kx[1]);
k0 = _mm_packs_epi32(k0, k0);
for( ; i <= width - 16; i += 16, src += 16 )
{
__m128i x0 = _mm_loadu_si128((__m128i*)(src + cn));
__m128i x1 = _mm_loadu_si128((__m128i*)(src - cn));
__m128i x2 = _mm_unpacklo_epi8(x0, z);
__m128i x3 = _mm_unpacklo_epi8(x1, z);
__m128i x4 = _mm_unpackhi_epi8(x0, z);
__m128i x5 = _mm_unpackhi_epi8(x1, z);
__m128i x6 = _mm_unpacklo_epi16(x2, x3);
__m128i x7 = _mm_unpacklo_epi16(x4, x5);
__m128i x8 = _mm_unpackhi_epi16(x2, x3);
__m128i x9 = _mm_unpackhi_epi16(x4, x5);
x6 = _mm_madd_epi16(x6, k0);
x7 = _mm_madd_epi16(x7, k0);
x8 = _mm_madd_epi16(x8, k0);
x9 = _mm_madd_epi16(x9, k0);
_mm_store_si128((__m128i*)(dst + i), x6);
_mm_store_si128((__m128i*)(dst + i + 4), x8);
_mm_store_si128((__m128i*)(dst + i + 8), x7);
_mm_store_si128((__m128i*)(dst + i + 12), x9);
}
}
}
else if( _ksize == 5 )
{
__m128i k0 = _mm_loadl_epi64((__m128i*)(kx + 1));
k0 = _mm_unpacklo_epi64(k0, k0);
k0 = _mm_packs_epi32(k0, k0);
for( ; i <= width - 16; i += 16, src += 16 )
{
__m128i x0 = _mm_loadu_si128((__m128i*)(src + cn));
__m128i x1 = _mm_loadu_si128((__m128i*)(src - cn));
__m128i x2 = _mm_unpackhi_epi8(x0, z);
__m128i x3 = _mm_unpackhi_epi8(x1, z);
x0 = _mm_unpacklo_epi8(x0, z);
x1 = _mm_unpacklo_epi8(x1, z);
__m128i x5 = _mm_sub_epi16(x2, x3);
__m128i x4 = _mm_sub_epi16(x0, x1);
__m128i x6 = _mm_loadu_si128((__m128i*)(src + cn * 2));
__m128i x7 = _mm_loadu_si128((__m128i*)(src - cn * 2));
__m128i x8 = _mm_unpackhi_epi8(x6, z);
__m128i x9 = _mm_unpackhi_epi8(x7, z);
x6 = _mm_unpacklo_epi8(x6, z);
x7 = _mm_unpacklo_epi8(x7, z);
__m128i x11 = _mm_sub_epi16(x8, x9);
__m128i x10 = _mm_sub_epi16(x6, x7);
__m128i x13 = _mm_unpackhi_epi16(x5, x11);
__m128i x12 = _mm_unpackhi_epi16(x4, x10);
x5 = _mm_unpacklo_epi16(x5, x11);
x4 = _mm_unpacklo_epi16(x4, x10);
x5 = _mm_madd_epi16(x5, k0);
x4 = _mm_madd_epi16(x4, k0);
x13 = _mm_madd_epi16(x13, k0);
x12 = _mm_madd_epi16(x12, k0);
_mm_store_si128((__m128i*)(dst + i), x4);
_mm_store_si128((__m128i*)(dst + i + 4), x12);
_mm_store_si128((__m128i*)(dst + i + 8), x5);
_mm_store_si128((__m128i*)(dst + i + 12), x13);
}
}
}
src -= (_ksize/2)*cn;
kx -= _ksize/2;
for( ; i <= width - 4; i += 4, src += 4 )
{
__m128i s0 = z;
for( k = j = 0; k < _ksize; k++, j += cn )
{
__m128i f = _mm_cvtsi32_si128(kx[k]);
f = _mm_shuffle_epi32(f, 0);
__m128i x0 = _mm_cvtsi32_si128(*(const int*)(src + j));
x0 = _mm_unpacklo_epi8(x0, z);
x0 = _mm_unpacklo_epi16(x0, z);
x0 = _mm_madd_epi16(x0, f);
s0 = _mm_add_epi32(s0, x0);
}
_mm_store_si128((__m128i*)(dst + i), s0);
}
return i;
}
Mat kernel;
int symmetryType;
bool smallValues;
};
struct SymmColumnVec_32s8u
{
SymmColumnVec_32s8u() { symmetryType=0; delta = 0; }
SymmColumnVec_32s8u(const Mat& _kernel, int _symmetryType, int _bits, double _delta)
{
symmetryType = _symmetryType;
_kernel.convertTo(kernel, CV_32F, 1./(1 << _bits), 0);
delta = (float)(_delta/(1 << _bits));
CV_Assert( (symmetryType & (KERNEL_SYMMETRICAL | KERNEL_ASYMMETRICAL)) != 0 );
}
int operator()(const uchar** _src, uchar* dst, int width) const
{
if( !checkHardwareSupport(CV_CPU_SSE2) )
return 0;
int ksize2 = (kernel.rows + kernel.cols - 1)/2;
const float* ky = kernel.ptr<float>() + ksize2;
int i = 0, k;
bool symmetrical = (symmetryType & KERNEL_SYMMETRICAL) != 0;
const int** src = (const int**)_src;
const __m128i *S, *S2;
__m128 d4 = _mm_set1_ps(delta);
if( symmetrical )
{
for( ; i <= width - 16; i += 16 )
{
__m128 f = _mm_load_ss(ky);
f = _mm_shuffle_ps(f, f, 0);
__m128 s0, s1, s2, s3;
__m128i x0, x1;
S = (const __m128i*)(src[0] + i);
s0 = _mm_cvtepi32_ps(_mm_load_si128(S));
s1 = _mm_cvtepi32_ps(_mm_load_si128(S+1));
s0 = _mm_add_ps(_mm_mul_ps(s0, f), d4);
s1 = _mm_add_ps(_mm_mul_ps(s1, f), d4);
s2 = _mm_cvtepi32_ps(_mm_load_si128(S+2));
s3 = _mm_cvtepi32_ps(_mm_load_si128(S+3));
s2 = _mm_add_ps(_mm_mul_ps(s2, f), d4);
s3 = _mm_add_ps(_mm_mul_ps(s3, f), d4);
for( k = 1; k <= ksize2; k++ )
{
S = (const __m128i*)(src[k] + i);
S2 = (const __m128i*)(src[-k] + i);
f = _mm_load_ss(ky+k);
f = _mm_shuffle_ps(f, f, 0);
x0 = _mm_add_epi32(_mm_load_si128(S), _mm_load_si128(S2));
x1 = _mm_add_epi32(_mm_load_si128(S+1), _mm_load_si128(S2+1));
s0 = _mm_add_ps(s0, _mm_mul_ps(_mm_cvtepi32_ps(x0), f));
s1 = _mm_add_ps(s1, _mm_mul_ps(_mm_cvtepi32_ps(x1), f));
x0 = _mm_add_epi32(_mm_load_si128(S+2), _mm_load_si128(S2+2));
x1 = _mm_add_epi32(_mm_load_si128(S+3), _mm_load_si128(S2+3));
s2 = _mm_add_ps(s2, _mm_mul_ps(_mm_cvtepi32_ps(x0), f));
s3 = _mm_add_ps(s3, _mm_mul_ps(_mm_cvtepi32_ps(x1), f));
}
x0 = _mm_packs_epi32(_mm_cvtps_epi32(s0), _mm_cvtps_epi32(s1));
x1 = _mm_packs_epi32(_mm_cvtps_epi32(s2), _mm_cvtps_epi32(s3));
x0 = _mm_packus_epi16(x0, x1);
_mm_storeu_si128((__m128i*)(dst + i), x0);
}
for( ; i <= width - 4; i += 4 )
{
__m128 f = _mm_load_ss(ky);
f = _mm_shuffle_ps(f, f, 0);
__m128i x0;
__m128 s0 = _mm_cvtepi32_ps(_mm_load_si128((const __m128i*)(src[0] + i)));
s0 = _mm_add_ps(_mm_mul_ps(s0, f), d4);
for( k = 1; k <= ksize2; k++ )
{
S = (const __m128i*)(src[k] + i);
S2 = (const __m128i*)(src[-k] + i);
f = _mm_load_ss(ky+k);
f = _mm_shuffle_ps(f, f, 0);
x0 = _mm_add_epi32(_mm_load_si128(S), _mm_load_si128(S2));
s0 = _mm_add_ps(s0, _mm_mul_ps(_mm_cvtepi32_ps(x0), f));
}
x0 = _mm_cvtps_epi32(s0);
x0 = _mm_packs_epi32(x0, x0);
x0 = _mm_packus_epi16(x0, x0);
*(int*)(dst + i) = _mm_cvtsi128_si32(x0);
}
}
else
{
for( ; i <= width - 16; i += 16 )
{
__m128 f, s0 = d4, s1 = d4, s2 = d4, s3 = d4;
__m128i x0, x1;
for( k = 1; k <= ksize2; k++ )
{
S = (const __m128i*)(src[k] + i);
S2 = (const __m128i*)(src[-k] + i);
f = _mm_load_ss(ky+k);
f = _mm_shuffle_ps(f, f, 0);
x0 = _mm_sub_epi32(_mm_load_si128(S), _mm_load_si128(S2));
x1 = _mm_sub_epi32(_mm_load_si128(S+1), _mm_load_si128(S2+1));
s0 = _mm_add_ps(s0, _mm_mul_ps(_mm_cvtepi32_ps(x0), f));
s1 = _mm_add_ps(s1, _mm_mul_ps(_mm_cvtepi32_ps(x1), f));
x0 = _mm_sub_epi32(_mm_load_si128(S+2), _mm_load_si128(S2+2));
x1 = _mm_sub_epi32(_mm_load_si128(S+3), _mm_load_si128(S2+3));
s2 = _mm_add_ps(s2, _mm_mul_ps(_mm_cvtepi32_ps(x0), f));
s3 = _mm_add_ps(s3, _mm_mul_ps(_mm_cvtepi32_ps(x1), f));
}
x0 = _mm_packs_epi32(_mm_cvtps_epi32(s0), _mm_cvtps_epi32(s1));
x1 = _mm_packs_epi32(_mm_cvtps_epi32(s2), _mm_cvtps_epi32(s3));
x0 = _mm_packus_epi16(x0, x1);
_mm_storeu_si128((__m128i*)(dst + i), x0);
}
for( ; i <= width - 4; i += 4 )
{
__m128 f, s0 = d4;
__m128i x0;
for( k = 1; k <= ksize2; k++ )
{
S = (const __m128i*)(src[k] + i);
S2 = (const __m128i*)(src[-k] + i);