/*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*/
|
|
#ifndef __OPENCV_GPU_FILTERS_HPP__
|
#define __OPENCV_GPU_FILTERS_HPP__
|
|
#include "saturate_cast.hpp"
|
#include "vec_traits.hpp"
|
#include "vec_math.hpp"
|
#include "type_traits.hpp"
|
|
namespace cv { namespace gpu { namespace device
|
{
|
template <typename Ptr2D> struct PointFilter
|
{
|
typedef typename Ptr2D::elem_type elem_type;
|
typedef float index_type;
|
|
explicit __host__ __device__ __forceinline__ PointFilter(const Ptr2D& src_, float fx = 0.f, float fy = 0.f)
|
: src(src_)
|
{
|
(void)fx;
|
(void)fy;
|
}
|
|
__device__ __forceinline__ elem_type operator ()(float y, float x) const
|
{
|
return src(__float2int_rz(y), __float2int_rz(x));
|
}
|
|
const Ptr2D src;
|
};
|
|
template <typename Ptr2D> struct LinearFilter
|
{
|
typedef typename Ptr2D::elem_type elem_type;
|
typedef float index_type;
|
|
explicit __host__ __device__ __forceinline__ LinearFilter(const Ptr2D& src_, float fx = 0.f, float fy = 0.f)
|
: src(src_)
|
{
|
(void)fx;
|
(void)fy;
|
}
|
__device__ __forceinline__ elem_type operator ()(float y, float x) const
|
{
|
typedef typename TypeVec<float, VecTraits<elem_type>::cn>::vec_type work_type;
|
|
work_type out = VecTraits<work_type>::all(0);
|
|
const int x1 = __float2int_rd(x);
|
const int y1 = __float2int_rd(y);
|
const int x2 = x1 + 1;
|
const int y2 = y1 + 1;
|
|
elem_type src_reg = src(y1, x1);
|
out = out + src_reg * ((x2 - x) * (y2 - y));
|
|
src_reg = src(y1, x2);
|
out = out + src_reg * ((x - x1) * (y2 - y));
|
|
src_reg = src(y2, x1);
|
out = out + src_reg * ((x2 - x) * (y - y1));
|
|
src_reg = src(y2, x2);
|
out = out + src_reg * ((x - x1) * (y - y1));
|
|
return saturate_cast<elem_type>(out);
|
}
|
|
const Ptr2D src;
|
};
|
|
template <typename Ptr2D> struct CubicFilter
|
{
|
typedef typename Ptr2D::elem_type elem_type;
|
typedef float index_type;
|
typedef typename TypeVec<float, VecTraits<elem_type>::cn>::vec_type work_type;
|
|
explicit __host__ __device__ __forceinline__ CubicFilter(const Ptr2D& src_, float fx = 0.f, float fy = 0.f)
|
: src(src_)
|
{
|
(void)fx;
|
(void)fy;
|
}
|
|
static __device__ __forceinline__ float bicubicCoeff(float x_)
|
{
|
float x = fabsf(x_);
|
if (x <= 1.0f)
|
{
|
return x * x * (1.5f * x - 2.5f) + 1.0f;
|
}
|
else if (x < 2.0f)
|
{
|
return x * (x * (-0.5f * x + 2.5f) - 4.0f) + 2.0f;
|
}
|
else
|
{
|
return 0.0f;
|
}
|
}
|
|
__device__ elem_type operator ()(float y, float x) const
|
{
|
const float xmin = ::ceilf(x - 2.0f);
|
const float xmax = ::floorf(x + 2.0f);
|
|
const float ymin = ::ceilf(y - 2.0f);
|
const float ymax = ::floorf(y + 2.0f);
|
|
work_type sum = VecTraits<work_type>::all(0);
|
float wsum = 0.0f;
|
|
for (float cy = ymin; cy <= ymax; cy += 1.0f)
|
{
|
for (float cx = xmin; cx <= xmax; cx += 1.0f)
|
{
|
const float w = bicubicCoeff(x - cx) * bicubicCoeff(y - cy);
|
sum = sum + w * src(__float2int_rd(cy), __float2int_rd(cx));
|
wsum += w;
|
}
|
}
|
|
work_type res = (!wsum)? VecTraits<work_type>::all(0) : sum / wsum;
|
|
return saturate_cast<elem_type>(res);
|
}
|
|
const Ptr2D src;
|
};
|
// for integer scaling
|
template <typename Ptr2D> struct IntegerAreaFilter
|
{
|
typedef typename Ptr2D::elem_type elem_type;
|
typedef float index_type;
|
|
explicit __host__ __device__ __forceinline__ IntegerAreaFilter(const Ptr2D& src_, float scale_x_, float scale_y_)
|
: src(src_), scale_x(scale_x_), scale_y(scale_y_), scale(1.f / (scale_x * scale_y)) {}
|
|
__device__ __forceinline__ elem_type operator ()(float y, float x) const
|
{
|
float fsx1 = x * scale_x;
|
float fsx2 = fsx1 + scale_x;
|
|
int sx1 = __float2int_ru(fsx1);
|
int sx2 = __float2int_rd(fsx2);
|
|
float fsy1 = y * scale_y;
|
float fsy2 = fsy1 + scale_y;
|
|
int sy1 = __float2int_ru(fsy1);
|
int sy2 = __float2int_rd(fsy2);
|
|
typedef typename TypeVec<float, VecTraits<elem_type>::cn>::vec_type work_type;
|
work_type out = VecTraits<work_type>::all(0.f);
|
|
for(int dy = sy1; dy < sy2; ++dy)
|
for(int dx = sx1; dx < sx2; ++dx)
|
{
|
out = out + src(dy, dx) * scale;
|
}
|
|
return saturate_cast<elem_type>(out);
|
}
|
|
const Ptr2D src;
|
float scale_x, scale_y ,scale;
|
};
|
|
template <typename Ptr2D> struct AreaFilter
|
{
|
typedef typename Ptr2D::elem_type elem_type;
|
typedef float index_type;
|
|
explicit __host__ __device__ __forceinline__ AreaFilter(const Ptr2D& src_, float scale_x_, float scale_y_)
|
: src(src_), scale_x(scale_x_), scale_y(scale_y_){}
|
|
__device__ __forceinline__ elem_type operator ()(float y, float x) const
|
{
|
float fsx1 = x * scale_x;
|
float fsx2 = fsx1 + scale_x;
|
|
int sx1 = __float2int_ru(fsx1);
|
int sx2 = __float2int_rd(fsx2);
|
|
float fsy1 = y * scale_y;
|
float fsy2 = fsy1 + scale_y;
|
|
int sy1 = __float2int_ru(fsy1);
|
int sy2 = __float2int_rd(fsy2);
|
|
float scale = 1.f / (fminf(scale_x, src.width - fsx1) * fminf(scale_y, src.height - fsy1));
|
|
typedef typename TypeVec<float, VecTraits<elem_type>::cn>::vec_type work_type;
|
work_type out = VecTraits<work_type>::all(0.f);
|
|
for (int dy = sy1; dy < sy2; ++dy)
|
{
|
for (int dx = sx1; dx < sx2; ++dx)
|
out = out + src(dy, dx) * scale;
|
|
if (sx1 > fsx1)
|
out = out + src(dy, (sx1 -1) ) * ((sx1 - fsx1) * scale);
|
|
if (sx2 < fsx2)
|
out = out + src(dy, sx2) * ((fsx2 -sx2) * scale);
|
}
|
|
if (sy1 > fsy1)
|
for (int dx = sx1; dx < sx2; ++dx)
|
out = out + src( (sy1 - 1) , dx) * ((sy1 -fsy1) * scale);
|
|
if (sy2 < fsy2)
|
for (int dx = sx1; dx < sx2; ++dx)
|
out = out + src(sy2, dx) * ((fsy2 -sy2) * scale);
|
|
if ((sy1 > fsy1) && (sx1 > fsx1))
|
out = out + src( (sy1 - 1) , (sx1 - 1)) * ((sy1 -fsy1) * (sx1 -fsx1) * scale);
|
|
if ((sy1 > fsy1) && (sx2 < fsx2))
|
out = out + src( (sy1 - 1) , sx2) * ((sy1 -fsy1) * (fsx2 -sx2) * scale);
|
|
if ((sy2 < fsy2) && (sx2 < fsx2))
|
out = out + src(sy2, sx2) * ((fsy2 -sy2) * (fsx2 -sx2) * scale);
|
|
if ((sy2 < fsy2) && (sx1 > fsx1))
|
out = out + src(sy2, (sx1 - 1)) * ((fsy2 -sy2) * (sx1 -fsx1) * scale);
|
|
return saturate_cast<elem_type>(out);
|
}
|
|
const Ptr2D src;
|
float scale_x, scale_y;
|
int width, haight;
|
};
|
}}} // namespace cv { namespace gpu { namespace device
|
|
#endif // __OPENCV_GPU_FILTERS_HPP__
|