opencv/modules/imgproc/src/clahe.cpp at master · pythonmjs/opencv · GitHub

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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

// 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 copyright holders 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 "opencl_kernels_imgproc.hpp"

// ----------------------------------------------------------------------

// CLAHE

#ifdef HAVE_OPENCL

namespace clahe

{

static bool calcLut(cv::InputArray _src, cv::OutputArray _dst,

const int tilesX, const int tilesY, const cv::Size tileSize,

const int clipLimit, const float lutScale)

{

cv::ocl::Kernel k("calcLut", cv::ocl::imgproc::clahe_oclsrc);

if(k.empty())

return false;

cv::UMat src = _src.getUMat();

_dst.create(tilesX * tilesY, 256, CV_8UC1);

cv::UMat dst = _dst.getUMat();

int tile_size[2];

tile_size[0] = tileSize.width;

tile_size[1] = tileSize.height;

size_t localThreads[3] = { 32, 8, 1 };

size_t globalThreads[3] = { tilesX * localThreads[0], tilesY * localThreads[1], 1 };

int idx = 0;

idx = k.set(idx, cv::ocl::KernelArg::ReadOnlyNoSize(src));

idx = k.set(idx, cv::ocl::KernelArg::WriteOnlyNoSize(dst));

idx = k.set(idx, tile_size);

idx = k.set(idx, tilesX);

idx = k.set(idx, clipLimit);

k.set(idx, lutScale);

return k.run(2, globalThreads, localThreads, false);

}

static bool transform(cv::InputArray _src, cv::OutputArray _dst, cv::InputArray _lut,

const int tilesX, const int tilesY, const cv::Size & tileSize)

{

cv::ocl::Kernel k("transform", cv::ocl::imgproc::clahe_oclsrc);

if(k.empty())

return false;

int tile_size[2];

tile_size[0] = tileSize.width;

tile_size[1] = tileSize.height;

cv::UMat src = _src.getUMat();

_dst.create(src.size(), src.type());

cv::UMat dst = _dst.getUMat();

cv::UMat lut = _lut.getUMat();

size_t localThreads[3] = { 32, 8, 1 };

size_t globalThreads[3] = { (size_t)src.cols, (size_t)src.rows, 1 };

int idx = 0;

idx = k.set(idx, cv::ocl::KernelArg::ReadOnlyNoSize(src));

idx = k.set(idx, cv::ocl::KernelArg::WriteOnlyNoSize(dst));

idx = k.set(idx, cv::ocl::KernelArg::ReadOnlyNoSize(lut));

idx = k.set(idx, src.cols);

idx = k.set(idx, src.rows);

idx = k.set(idx, tile_size);

idx = k.set(idx, tilesX);

k.set(idx, tilesY);

return k.run(2, globalThreads, localThreads, false);

}

#endif

namespace

{

template <class T, int histSize, int shift>

class CLAHE_CalcLut_Body : public cv::ParallelLoopBody

{

public:

CLAHE_CalcLut_Body(const cv::Mat& src, const cv::Mat& lut, const cv::Size& tileSize, const int& tilesX, const int& clipLimit, const float& lutScale) :

src_(src), lut_(lut), tileSize_(tileSize), tilesX_(tilesX), clipLimit_(clipLimit), lutScale_(lutScale)

{

}

void operator ()(const cv::Range& range) const CV_OVERRIDE;

private:

cv::Mat src_;

mutable cv::Mat lut_;

cv::Size tileSize_;

int tilesX_;

int clipLimit_;

float lutScale_;

};

template <class T, int histSize, int shift>

void CLAHE_CalcLut_Body<T,histSize,shift>::operator ()(const cv::Range& range) const

{

T* tileLut = lut_.ptr<T>(range.start);

const size_t lut_step = lut_.step / sizeof(T);

for (int k = range.start; k < range.end; ++k, tileLut += lut_step)

{

const int ty = k / tilesX_;

const int tx = k % tilesX_;

// retrieve tile submatrix

cv::Rect tileROI;

tileROI.x = tx * tileSize_.width;

tileROI.y = ty * tileSize_.height;

tileROI.width = tileSize_.width;

tileROI.height = tileSize_.height;

const cv::Mat tile = src_(tileROI);

// calc histogram

int tileHist[histSize] = {0, };

int height = tileROI.height;

const size_t sstep = src_.step / sizeof(T);

for (const T* ptr = tile.ptr<T>(0); height--; ptr += sstep)

{

int x = 0;

for (; x <= tileROI.width - 4; x += 4)

{

int t0 = ptr[x], t1 = ptr[x+1];

tileHist[t0 >> shift]++; tileHist[t1 >> shift]++;

t0 = ptr[x+2]; t1 = ptr[x+3];

tileHist[t0 >> shift]++; tileHist[t1 >> shift]++;

}

for (; x < tileROI.width; ++x)

tileHist[ptr[x] >> shift]++;

}

// clip histogram

if (clipLimit_ > 0)

{

// how many pixels were clipped

int clipped = 0;

for (int i = 0; i < histSize; ++i)

{

if (tileHist[i] > clipLimit_)

{

clipped += tileHist[i] - clipLimit_;

tileHist[i] = clipLimit_;

}

// redistribute clipped pixels

int redistBatch = clipped / histSize;

int residual = clipped - redistBatch * histSize;

for (int i = 0; i < histSize; ++i)

tileHist[i] += redistBatch;

if (residual != 0)

{

int residualStep = MAX(histSize / residual, 1);

for (int i = 0; i < histSize && residual > 0; i += residualStep, residual--)

tileHist[i]++;

}

// calc Lut

int sum = 0;

for (int i = 0; i < histSize; ++i)

{

sum += tileHist[i];

tileLut[i] = cv::saturate_cast<T>(sum * lutScale_);

}

template <class T, int shift>

class CLAHE_Interpolation_Body : public cv::ParallelLoopBody

{

public:

CLAHE_Interpolation_Body(const cv::Mat& src, const cv::Mat& dst, const cv::Mat& lut, const cv::Size& tileSize, const int& tilesX, const int& tilesY) :

src_(src), dst_(dst), lut_(lut), tileSize_(tileSize), tilesX_(tilesX), tilesY_(tilesY)

{

buf.allocate(src.cols << 2);

ind1_p = buf.data();

ind2_p = ind1_p + src.cols;

xa_p = (float *)(ind2_p + src.cols);

xa1_p = xa_p + src.cols;

int lut_step = static_cast<int>(lut_.step / sizeof(T));

float inv_tw = 1.0f / tileSize_.width;

for (int x = 0; x < src.cols; ++x)

{

float txf = x * inv_tw - 0.5f;

int tx1 = cvFloor(txf);

int tx2 = tx1 + 1;

xa_p[x] = txf - tx1;

xa1_p[x] = 1.0f - xa_p[x];

tx1 = std::max(tx1, 0);

tx2 = std::min(tx2, tilesX_ - 1);

ind1_p[x] = tx1 * lut_step;

ind2_p[x] = tx2 * lut_step;

}

void operator ()(const cv::Range& range) const CV_OVERRIDE;

private:

cv::Mat src_;

mutable cv::Mat dst_;

cv::Mat lut_;

cv::Size tileSize_;

int tilesX_;

int tilesY_;

cv::AutoBuffer<int> buf;

int * ind1_p, * ind2_p;

float * xa_p, * xa1_p;

};

template <class T, int shift>

void CLAHE_Interpolation_Body<T, shift>::operator ()(const cv::Range& range) const

{

float inv_th = 1.0f / tileSize_.height;

for (int y = range.start; y < range.end; ++y)

{

const T* srcRow = src_.ptr<T>(y);

T* dstRow = dst_.ptr<T>(y);

float tyf = y * inv_th - 0.5f;

int ty1 = cvFloor(tyf);

int ty2 = ty1 + 1;

float ya = tyf - ty1, ya1 = 1.0f - ya;

ty1 = std::max(ty1, 0);

ty2 = std::min(ty2, tilesY_ - 1);

const T* lutPlane1 = lut_.ptr<T>(ty1 * tilesX_);

const T* lutPlane2 = lut_.ptr<T>(ty2 * tilesX_);

for (int x = 0; x < src_.cols; ++x)

{

int srcVal = srcRow[x] >> shift;

int ind1 = ind1_p[x] + srcVal;

int ind2 = ind2_p[x] + srcVal;

float res = (lutPlane1[ind1] * xa1_p[x] + lutPlane1[ind2] * xa_p[x]) * ya1 +

(lutPlane2[ind1] * xa1_p[x] + lutPlane2[ind2] * xa_p[x]) * ya;

dstRow[x] = cv::saturate_cast<T>(res) << shift;

}

class CLAHE_Impl CV_FINAL : public cv::CLAHE

{

public:

CLAHE_Impl(double clipLimit = 40.0, int tilesX = 8, int tilesY = 8);

void apply(cv::InputArray src, cv::OutputArray dst) CV_OVERRIDE;

void setClipLimit(double clipLimit) CV_OVERRIDE;

double getClipLimit() const CV_OVERRIDE;

void setTilesGridSize(cv::Size tileGridSize) CV_OVERRIDE;

cv::Size getTilesGridSize() const CV_OVERRIDE;

void collectGarbage() CV_OVERRIDE;

private:

double clipLimit_;

int tilesX_;

int tilesY_;

cv::Mat srcExt_;

cv::Mat lut_;

#ifdef HAVE_OPENCL

cv::UMat usrcExt_;

cv::UMat ulut_;

#endif

};

CLAHE_Impl::CLAHE_Impl(double clipLimit, int tilesX, int tilesY) :

clipLimit_(clipLimit), tilesX_(tilesX), tilesY_(tilesY)

{

}

void CLAHE_Impl::apply(cv::InputArray _src, cv::OutputArray _dst)

{

CV_INSTRUMENT_REGION()

CV_Assert( _src.type() == CV_8UC1 || _src.type() == CV_16UC1 );

#ifdef HAVE_OPENCL

bool useOpenCL = cv::ocl::isOpenCLActivated() && _src.isUMat() && _src.dims()<=2 && _src.type() == CV_8UC1;

#endif

int histSize = _src.type() == CV_8UC1 ? 256 : 65536;

cv::Size tileSize;

cv::_InputArray _srcForLut;

if (_src.size().width % tilesX_ == 0 && _src.size().height % tilesY_ == 0)

{

tileSize = cv::Size(_src.size().width / tilesX_, _src.size().height / tilesY_);

_srcForLut = _src;

}

else

{

#ifdef HAVE_OPENCL

if(useOpenCL)

{

cv::copyMakeBorder(_src, usrcExt_, 0, tilesY_ - (_src.size().height % tilesY_), 0, tilesX_ - (_src.size().width % tilesX_), cv::BORDER_REFLECT_101);

tileSize = cv::Size(usrcExt_.size().width / tilesX_, usrcExt_.size().height / tilesY_);

_srcForLut = usrcExt_;

}

else

#endif

{

cv::copyMakeBorder(_src, srcExt_, 0, tilesY_ - (_src.size().height % tilesY_), 0, tilesX_ - (_src.size().width % tilesX_), cv::BORDER_REFLECT_101);

tileSize = cv::Size(srcExt_.size().width / tilesX_, srcExt_.size().height / tilesY_);

_srcForLut = srcExt_;

}

const int tileSizeTotal = tileSize.area();

const float lutScale = static_cast<float>(histSize - 1) / tileSizeTotal;

int clipLimit = 0;

if (clipLimit_ > 0.0)

{

clipLimit = static_cast<int>(clipLimit_ * tileSizeTotal / histSize);

clipLimit = std::max(clipLimit, 1);

}

#ifdef HAVE_OPENCL

if (useOpenCL && clahe::calcLut(_srcForLut, ulut_, tilesX_, tilesY_, tileSize, clipLimit, lutScale) )

if( clahe::transform(_src, _dst, ulut_, tilesX_, tilesY_, tileSize) )

{

CV_IMPL_ADD(CV_IMPL_OCL);

return;

}

#endif

cv::Mat src = _src.getMat();

_dst.create( src.size(), src.type() );

cv::Mat dst = _dst.getMat();

cv::Mat srcForLut = _srcForLut.getMat();

lut_.create(tilesX_ * tilesY_, histSize, _src.type());

cv::Ptr<cv::ParallelLoopBody> calcLutBody;

if (_src.type() == CV_8UC1)

calcLutBody = cv::makePtr<CLAHE_CalcLut_Body<uchar, 256, 0> >(srcForLut, lut_, tileSize, tilesX_, clipLimit, lutScale);

else if (_src.type() == CV_16UC1)

calcLutBody = cv::makePtr<CLAHE_CalcLut_Body<ushort, 65536, 0> >(srcForLut, lut_, tileSize, tilesX_, clipLimit, lutScale);

else

CV_Error( CV_StsBadArg, "Unsupported type" );

cv::parallel_for_(cv::Range(0, tilesX_ * tilesY_), *calcLutBody);

cv::Ptr<cv::ParallelLoopBody> interpolationBody;

if (_src.type() == CV_8UC1)

interpolationBody = cv::makePtr<CLAHE_Interpolation_Body<uchar, 0> >(src, dst, lut_, tileSize, tilesX_, tilesY_);

else if (_src.type() == CV_16UC1)

interpolationBody = cv::makePtr<CLAHE_Interpolation_Body<ushort, 0> >(src, dst, lut_, tileSize, tilesX_, tilesY_);

cv::parallel_for_(cv::Range(0, src.rows), *interpolationBody);

}

void CLAHE_Impl::setClipLimit(double clipLimit)

{

clipLimit_ = clipLimit;

}

double CLAHE_Impl::getClipLimit() const

{

return clipLimit_;

}

void CLAHE_Impl::setTilesGridSize(cv::Size tileGridSize)

{

tilesX_ = tileGridSize.width;

tilesY_ = tileGridSize.height;

}

cv::Size CLAHE_Impl::getTilesGridSize() const

{

return cv::Size(tilesX_, tilesY_);

}

void CLAHE_Impl::collectGarbage()

{

srcExt_.release();

lut_.release();

#ifdef HAVE_OPENCL

usrcExt_.release();

ulut_.release();

#endif

}

cv::Ptr<cv::CLAHE> cv::createCLAHE(double clipLimit, cv::Size tileGridSize)

{

return makePtr<CLAHE_Impl>(clipLimit, tileGridSize.width, tileGridSize.height);

}

opencv/modules/imgproc/src/clahe.cpp at master · pythonmjs/opencv · GitHub

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