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opencv/modules/imgproc/src/demosaicing.cpp
dcouwenh d3cf0d2c06 Bayer VNG Demosaicing Fix #2 (Merge pull request #15086) 
* Update demosaicing.cpp

Fixed calculation of Bs for non-green pixels.

* Fixed cvtColor perf test for bayer VNG
2019-07-30 23:49:46 +03:00

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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) 2009-2010, Willow Garage Inc., all rights reserved.
// Copyright (C) 2014, Itseez Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
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// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
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/********************************* COPYRIGHT NOTICE *******************************\
Original code for Bayer->BGR/RGB conversion is provided by Dirk Schaefer
from MD-Mathematische Dienste GmbH. Below is the copyright notice:
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.
Contributors License Agreement:
Copyright (c) 2002,
MD-Mathematische Dienste GmbH
Im Defdahl 5-10
44141 Dortmund
Germany
www.md-it.de
Redistribution and use in source and binary forms,
with or without modification, are permitted provided
that the following conditions are met:
Redistributions of source code must retain
the above copyright notice, this list of conditions and the following disclaimer.
Redistributions in binary form must reproduce the above copyright notice,
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and/or other materials provided with the distribution.
The name of Contributor may not be used to endorse or promote products
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AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
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DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS
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\**********************************************************************************/
#include "precomp.hpp"
#include <limits>
#define CV_DESCALE(x,n) (((x) + (1 << ((n)-1))) >> (n))
namespace cv
{
//////////////////////////// Bayer Pattern -> RGB conversion /////////////////////////////
template<typename T>
class SIMDBayerStubInterpolator_
{
public:
int bayer2Gray(const T*, int, T*, int, int, int, int) const
{
return 0;
}
int bayer2RGB(const T*, int, T*, int, int) const
{
return 0;
}
int bayer2RGBA(const T*, int, T*, int, int) const
{
return 0;
}
int bayer2RGB_EA(const T*, int, T*, int, int) const
{
return 0;
}
};
#if CV_SSE2
class SIMDBayerInterpolator_8u
{
public:
SIMDBayerInterpolator_8u()
{
use_simd = checkHardwareSupport(CV_CPU_SSE2);
}
int bayer2Gray(const uchar* bayer, int bayer_step, uchar* dst,
int width, int bcoeff, int gcoeff, int rcoeff) const
{
if( !use_simd )
return 0;
__m128i _b2y = _mm_set1_epi16((short)(rcoeff*2));
__m128i _g2y = _mm_set1_epi16((short)(gcoeff*2));
__m128i _r2y = _mm_set1_epi16((short)(bcoeff*2));
const uchar* bayer_end = bayer + width;
for( ; bayer <= bayer_end - 18; bayer += 14, dst += 14 )
{
__m128i r0 = _mm_loadu_si128((const __m128i*)bayer);
__m128i r1 = _mm_loadu_si128((const __m128i*)(bayer+bayer_step));
__m128i r2 = _mm_loadu_si128((const __m128i*)(bayer+bayer_step*2));
__m128i b1 = _mm_add_epi16(_mm_srli_epi16(_mm_slli_epi16(r0, 8), 7),
_mm_srli_epi16(_mm_slli_epi16(r2, 8), 7));
__m128i b0 = _mm_add_epi16(b1, _mm_srli_si128(b1, 2));
b1 = _mm_slli_epi16(_mm_srli_si128(b1, 2), 1);
__m128i g0 = _mm_add_epi16(_mm_srli_epi16(r0, 7), _mm_srli_epi16(r2, 7));
__m128i g1 = _mm_srli_epi16(_mm_slli_epi16(r1, 8), 7);
g0 = _mm_add_epi16(g0, _mm_add_epi16(g1, _mm_srli_si128(g1, 2)));
g1 = _mm_slli_epi16(_mm_srli_si128(g1, 2), 2);
r0 = _mm_srli_epi16(r1, 8);
r1 = _mm_slli_epi16(_mm_add_epi16(r0, _mm_srli_si128(r0, 2)), 2);
r0 = _mm_slli_epi16(r0, 3);
g0 = _mm_add_epi16(_mm_mulhi_epi16(b0, _b2y), _mm_mulhi_epi16(g0, _g2y));
g1 = _mm_add_epi16(_mm_mulhi_epi16(b1, _b2y), _mm_mulhi_epi16(g1, _g2y));
g0 = _mm_add_epi16(g0, _mm_mulhi_epi16(r0, _r2y));
g1 = _mm_add_epi16(g1, _mm_mulhi_epi16(r1, _r2y));
g0 = _mm_srli_epi16(g0, 2);
g1 = _mm_srli_epi16(g1, 2);
g0 = _mm_packus_epi16(g0, g0);
g1 = _mm_packus_epi16(g1, g1);
g0 = _mm_unpacklo_epi8(g0, g1);
_mm_storeu_si128((__m128i*)dst, g0);
}
return (int)(bayer - (bayer_end - width));
}
int bayer2RGB(const uchar* bayer, int bayer_step, uchar* dst, int width, int blue) const
{
if( !use_simd )
return 0;
/*
B G B G | B G B G | B G B G | B G B G
G R G R | G R G R | G R G R | G R G R
B G B G | B G B G | B G B G | B G B G
*/
__m128i delta1 = _mm_set1_epi16(1), delta2 = _mm_set1_epi16(2);
__m128i mask = _mm_set1_epi16(blue < 0 ? -1 : 0), z = _mm_setzero_si128();
__m128i masklo = _mm_set1_epi16(0x00ff);
const uchar* bayer_end = bayer + width;
for( ; bayer <= bayer_end - 18; bayer += 14, dst += 42 )
{
__m128i r0 = _mm_loadu_si128((const __m128i*)bayer);
__m128i r1 = _mm_loadu_si128((const __m128i*)(bayer+bayer_step));
__m128i r2 = _mm_loadu_si128((const __m128i*)(bayer+bayer_step*2));
__m128i b1 = _mm_add_epi16(_mm_and_si128(r0, masklo), _mm_and_si128(r2, masklo));
__m128i nextb1 = _mm_srli_si128(b1, 2);
__m128i b0 = _mm_add_epi16(b1, nextb1);
b1 = _mm_srli_epi16(_mm_add_epi16(nextb1, delta1), 1);
b0 = _mm_srli_epi16(_mm_add_epi16(b0, delta2), 2);
// b0 b2 ... b14 b1 b3 ... b15
b0 = _mm_packus_epi16(b0, b1);
__m128i g0 = _mm_add_epi16(_mm_srli_epi16(r0, 8), _mm_srli_epi16(r2, 8));
__m128i g1 = _mm_and_si128(r1, masklo);
g0 = _mm_add_epi16(g0, _mm_add_epi16(g1, _mm_srli_si128(g1, 2)));
g1 = _mm_srli_si128(g1, 2);
g0 = _mm_srli_epi16(_mm_add_epi16(g0, delta2), 2);
// g0 g2 ... g14 g1 g3 ... g15
g0 = _mm_packus_epi16(g0, g1);
r0 = _mm_srli_epi16(r1, 8);
r1 = _mm_add_epi16(r0, _mm_srli_si128(r0, 2));
r1 = _mm_srli_epi16(_mm_add_epi16(r1, delta1), 1);
// r0 r2 ... r14 r1 r3 ... r15
r0 = _mm_packus_epi16(r0, r1);
b1 = _mm_and_si128(_mm_xor_si128(b0, r0), mask);
b0 = _mm_xor_si128(b0, b1);
r0 = _mm_xor_si128(r0, b1);
// b1 g1 b3 g3 b5 g5...
b1 = _mm_unpackhi_epi8(b0, g0);
// b0 g0 b2 g2 b4 g4 ....
b0 = _mm_unpacklo_epi8(b0, g0);
// r1 0 r3 0 r5 0 ...
r1 = _mm_unpackhi_epi8(r0, z);
// r0 0 r2 0 r4 0 ...
r0 = _mm_unpacklo_epi8(r0, z);
// 0 b0 g0 r0 0 b2 g2 r2 ...
g0 = _mm_slli_si128(_mm_unpacklo_epi16(b0, r0), 1);
// 0 b8 g8 r8 0 b10 g10 r10 ...
g1 = _mm_slli_si128(_mm_unpackhi_epi16(b0, r0), 1);
// b1 g1 r1 0 b3 g3 r3 0 ...
r0 = _mm_unpacklo_epi16(b1, r1);
// b9 g9 r9 0 b11 g11 r11 0 ...
r1 = _mm_unpackhi_epi16(b1, r1);
// 0 b0 g0 r0 b1 g1 r1 0 ...
b0 = _mm_srli_si128(_mm_unpacklo_epi32(g0, r0), 1);
// 0 b4 g4 r4 b5 g5 r5 0 ...
b1 = _mm_srli_si128(_mm_unpackhi_epi32(g0, r0), 1);
_mm_storel_epi64((__m128i*)(dst-1+0), b0);
_mm_storel_epi64((__m128i*)(dst-1+6*1), _mm_srli_si128(b0, 8));
_mm_storel_epi64((__m128i*)(dst-1+6*2), b1);
_mm_storel_epi64((__m128i*)(dst-1+6*3), _mm_srli_si128(b1, 8));
// 0 b8 g8 r8 b9 g9 r9 0 ...
g0 = _mm_srli_si128(_mm_unpacklo_epi32(g1, r1), 1);
// 0 b12 g12 r12 b13 g13 r13 0 ...
g1 = _mm_srli_si128(_mm_unpackhi_epi32(g1, r1), 1);
_mm_storel_epi64((__m128i*)(dst-1+6*4), g0);
_mm_storel_epi64((__m128i*)(dst-1+6*5), _mm_srli_si128(g0, 8));
_mm_storel_epi64((__m128i*)(dst-1+6*6), g1);
}
return (int)(bayer - (bayer_end - width));
}
int bayer2RGBA(const uchar*, int, uchar*, int, int) const
{
return 0;
}
int bayer2RGB_EA(const uchar* bayer, int bayer_step, uchar* dst, int width, int blue) const
{
if (!use_simd)
return 0;
const uchar* bayer_end = bayer + width;
__m128i masklow = _mm_set1_epi16(0x00ff);
__m128i delta1 = _mm_set1_epi16(1), delta2 = _mm_set1_epi16(2);
__m128i full = _mm_set1_epi16(-1), z = _mm_setzero_si128();
__m128i mask = _mm_set1_epi16(blue > 0 ? -1 : 0);
for ( ; bayer <= bayer_end - 18; bayer += 14, dst += 42)
{
/*
B G B G | B G B G | B G B G | B G B G
G R G R | G R G R | G R G R | G R G R
B G B G | B G B G | B G B G | B G B G
*/
__m128i r0 = _mm_loadu_si128((const __m128i*)bayer);
__m128i r1 = _mm_loadu_si128((const __m128i*)(bayer+bayer_step));
__m128i r2 = _mm_loadu_si128((const __m128i*)(bayer+bayer_step*2));
__m128i b1 = _mm_add_epi16(_mm_and_si128(r0, masklow), _mm_and_si128(r2, masklow));
__m128i nextb1 = _mm_srli_si128(b1, 2);
__m128i b0 = _mm_add_epi16(b1, nextb1);
b1 = _mm_srli_epi16(_mm_add_epi16(nextb1, delta1), 1);
b0 = _mm_srli_epi16(_mm_add_epi16(b0, delta2), 2);
// b0 b2 ... b14 b1 b3 ... b15
b0 = _mm_packus_epi16(b0, b1);
// vertical sum
__m128i r0g = _mm_srli_epi16(r0, 8);
__m128i r2g = _mm_srli_epi16(r2, 8);
__m128i sumv = _mm_srli_epi16(_mm_add_epi16(_mm_add_epi16(r0g, r2g), delta1), 1);
// gorizontal sum
__m128i g1 = _mm_and_si128(masklow, r1);
__m128i nextg1 = _mm_srli_si128(g1, 2);
__m128i sumg = _mm_srli_epi16(_mm_add_epi16(_mm_add_epi16(g1, nextg1), delta1), 1);
// gradients
__m128i gradv = _mm_adds_epi16(_mm_subs_epu16(r0g, r2g), _mm_subs_epu16(r2g, r0g));
__m128i gradg = _mm_adds_epi16(_mm_subs_epu16(nextg1, g1), _mm_subs_epu16(g1, nextg1));
__m128i gmask = _mm_cmpgt_epi16(gradg, gradv);
__m128i g0 = _mm_add_epi16(_mm_and_si128(gmask, sumv), _mm_and_si128(sumg, _mm_xor_si128(gmask, full)));
// g0 g2 ... g14 g1 g3 ...
g0 = _mm_packus_epi16(g0, nextg1);
r0 = _mm_srli_epi16(r1, 8);
r1 = _mm_add_epi16(r0, _mm_srli_si128(r0, 2));
r1 = _mm_srli_epi16(_mm_add_epi16(r1, delta1), 1);
// r0 r2 ... r14 r1 r3 ... r15
r0 = _mm_packus_epi16(r0, r1);
b1 = _mm_and_si128(_mm_xor_si128(b0, r0), mask);
b0 = _mm_xor_si128(b0, b1);
r0 = _mm_xor_si128(r0, b1);
// b1 g1 b3 g3 b5 g5...
b1 = _mm_unpackhi_epi8(b0, g0);
// b0 g0 b2 g2 b4 g4 ....
b0 = _mm_unpacklo_epi8(b0, g0);
// r1 0 r3 0 r5 0 ...
r1 = _mm_unpackhi_epi8(r0, z);
// r0 0 r2 0 r4 0 ...
r0 = _mm_unpacklo_epi8(r0, z);
// 0 b0 g0 r0 0 b2 g2 r2 ...
g0 = _mm_slli_si128(_mm_unpacklo_epi16(b0, r0), 1);
// 0 b8 g8 r8 0 b10 g10 r10 ...
g1 = _mm_slli_si128(_mm_unpackhi_epi16(b0, r0), 1);
// b1 g1 r1 0 b3 g3 r3 0 ...
r0 = _mm_unpacklo_epi16(b1, r1);
// b9 g9 r9 0 b11 g11 r11 0 ...
r1 = _mm_unpackhi_epi16(b1, r1);
// 0 b0 g0 r0 b1 g1 r1 0 ...
b0 = _mm_srli_si128(_mm_unpacklo_epi32(g0, r0), 1);
// 0 b4 g4 r4 b5 g5 r5 0 ...
b1 = _mm_srli_si128(_mm_unpackhi_epi32(g0, r0), 1);
_mm_storel_epi64((__m128i*)(dst+0), b0);
_mm_storel_epi64((__m128i*)(dst+6*1), _mm_srli_si128(b0, 8));
_mm_storel_epi64((__m128i*)(dst+6*2), b1);
_mm_storel_epi64((__m128i*)(dst+6*3), _mm_srli_si128(b1, 8));
// 0 b8 g8 r8 b9 g9 r9 0 ...
g0 = _mm_srli_si128(_mm_unpacklo_epi32(g1, r1), 1);
// 0 b12 g12 r12 b13 g13 r13 0 ...
g1 = _mm_srli_si128(_mm_unpackhi_epi32(g1, r1), 1);
_mm_storel_epi64((__m128i*)(dst+6*4), g0);
_mm_storel_epi64((__m128i*)(dst+6*5), _mm_srli_si128(g0, 8));
_mm_storel_epi64((__m128i*)(dst+6*6), g1);
}
return int(bayer - (bayer_end - width));
}
bool use_simd;
};
#elif CV_NEON
class SIMDBayerInterpolator_8u
{
public:
SIMDBayerInterpolator_8u()
{
}
int bayer2Gray(const uchar* bayer, int bayer_step, uchar* dst,
int width, int bcoeff, int gcoeff, int rcoeff) const
{
/*
B G B G | B G B G | B G B G | B G B G
G R G R | G R G R | G R G R | G R G R
B G B G | B G B G | B G B G | B G B G
*/
uint16x8_t masklo = vdupq_n_u16(255);
const uchar* bayer_end = bayer + width;
for( ; bayer <= bayer_end - 18; bayer += 14, dst += 14 )
{
uint16x8_t r0 = vld1q_u16((const ushort*)bayer);
uint16x8_t r1 = vld1q_u16((const ushort*)(bayer + bayer_step));
uint16x8_t r2 = vld1q_u16((const ushort*)(bayer + bayer_step*2));
uint16x8_t b1_ = vaddq_u16(vandq_u16(r0, masklo), vandq_u16(r2, masklo));
uint16x8_t b1 = vextq_u16(b1_, b1_, 1);
uint16x8_t b0 = vaddq_u16(b1_, b1);
// b0 = b0 b2 b4 ...
// b1 = b1 b3 b5 ...
uint16x8_t g0 = vaddq_u16(vshrq_n_u16(r0, 8), vshrq_n_u16(r2, 8));
uint16x8_t g1 = vandq_u16(r1, masklo);
g0 = vaddq_u16(g0, vaddq_u16(g1, vextq_u16(g1, g1, 1)));
uint16x8_t rot = vextq_u16(g1, g1, 1);
g1 = vshlq_n_u16(rot, 2);
// g0 = b0 b2 b4 ...
// g1 = b1 b3 b5 ...
r0 = vshrq_n_u16(r1, 8);
r1 = vaddq_u16(r0, vextq_u16(r0, r0, 1));
r0 = vshlq_n_u16(r0, 2);
// r0 = r0 r2 r4 ...
// r1 = r1 r3 r5 ...
b0 = vreinterpretq_u16_s16(vqdmulhq_n_s16(vreinterpretq_s16_u16(b0), (short)(rcoeff*2)));
b1 = vreinterpretq_u16_s16(vqdmulhq_n_s16(vreinterpretq_s16_u16(b1), (short)(rcoeff*4)));
g0 = vreinterpretq_u16_s16(vqdmulhq_n_s16(vreinterpretq_s16_u16(g0), (short)(gcoeff*2)));
g1 = vreinterpretq_u16_s16(vqdmulhq_n_s16(vreinterpretq_s16_u16(g1), (short)(gcoeff*2)));
r0 = vreinterpretq_u16_s16(vqdmulhq_n_s16(vreinterpretq_s16_u16(r0), (short)(bcoeff*2)));
r1 = vreinterpretq_u16_s16(vqdmulhq_n_s16(vreinterpretq_s16_u16(r1), (short)(bcoeff*4)));
g0 = vaddq_u16(vaddq_u16(g0, b0), r0);
g1 = vaddq_u16(vaddq_u16(g1, b1), r1);
uint8x8x2_t p = vzip_u8(vrshrn_n_u16(g0, 2), vrshrn_n_u16(g1, 2));
vst1_u8(dst, p.val[0]);
vst1_u8(dst + 8, p.val[1]);
}
return (int)(bayer - (bayer_end - width));
}
int bayer2RGB(const uchar* bayer, int bayer_step, uchar* dst, int width, int blue) const
{
/*
B G B G | B G B G | B G B G | B G B G
G R G R | G R G R | G R G R | G R G R
B G B G | B G B G | B G B G | B G B G
*/
uint16x8_t masklo = vdupq_n_u16(255);
uint8x16x3_t pix;
const uchar* bayer_end = bayer + width;
for( ; bayer <= bayer_end - 18; bayer += 14, dst += 42 )
{
uint16x8_t r0 = vld1q_u16((const ushort*)bayer);
uint16x8_t r1 = vld1q_u16((const ushort*)(bayer + bayer_step));
uint16x8_t r2 = vld1q_u16((const ushort*)(bayer + bayer_step*2));
uint16x8_t b1 = vaddq_u16(vandq_u16(r0, masklo), vandq_u16(r2, masklo));
uint16x8_t nextb1 = vextq_u16(b1, b1, 1);
uint16x8_t b0 = vaddq_u16(b1, nextb1);
// b0 b1 b2 ...
uint8x8x2_t bb = vzip_u8(vrshrn_n_u16(b0, 2), vrshrn_n_u16(nextb1, 1));
pix.val[1-blue] = vcombine_u8(bb.val[0], bb.val[1]);
uint16x8_t g0 = vaddq_u16(vshrq_n_u16(r0, 8), vshrq_n_u16(r2, 8));
uint16x8_t g1 = vandq_u16(r1, masklo);
g0 = vaddq_u16(g0, vaddq_u16(g1, vextq_u16(g1, g1, 1)));
g1 = vextq_u16(g1, g1, 1);
// g0 g1 g2 ...
uint8x8x2_t gg = vzip_u8(vrshrn_n_u16(g0, 2), vmovn_u16(g1));
pix.val[1] = vcombine_u8(gg.val[0], gg.val[1]);
r0 = vshrq_n_u16(r1, 8);
r1 = vaddq_u16(r0, vextq_u16(r0, r0, 1));
// r0 r1 r2 ...
uint8x8x2_t rr = vzip_u8(vmovn_u16(r0), vrshrn_n_u16(r1, 1));
pix.val[1+blue] = vcombine_u8(rr.val[0], rr.val[1]);
vst3q_u8(dst-1, pix);
}
return (int)(bayer - (bayer_end - width));
}
int bayer2RGBA(const uchar* bayer, int bayer_step, uchar* dst, int width, int blue) const
{
/*
B G B G | B G B G | B G B G | B G B G
G R G R | G R G R | G R G R | G R G R
B G B G | B G B G | B G B G | B G B G
*/
uint16x8_t masklo = vdupq_n_u16(255);
uint8x16x4_t pix;
const uchar* bayer_end = bayer + width;
pix.val[3] = vdupq_n_u8(255);
for( ; bayer <= bayer_end - 18; bayer += 14, dst += 56 )
{
uint16x8_t r0 = vld1q_u16((const ushort*)bayer);
uint16x8_t r1 = vld1q_u16((const ushort*)(bayer + bayer_step));
uint16x8_t r2 = vld1q_u16((const ushort*)(bayer + bayer_step*2));
uint16x8_t b1 = vaddq_u16(vandq_u16(r0, masklo), vandq_u16(r2, masklo));
uint16x8_t nextb1 = vextq_u16(b1, b1, 1);
uint16x8_t b0 = vaddq_u16(b1, nextb1);
// b0 b1 b2 ...
uint8x8x2_t bb = vzip_u8(vrshrn_n_u16(b0, 2), vrshrn_n_u16(nextb1, 1));
pix.val[1-blue] = vcombine_u8(bb.val[0], bb.val[1]);
uint16x8_t g0 = vaddq_u16(vshrq_n_u16(r0, 8), vshrq_n_u16(r2, 8));
uint16x8_t g1 = vandq_u16(r1, masklo);
g0 = vaddq_u16(g0, vaddq_u16(g1, vextq_u16(g1, g1, 1)));
g1 = vextq_u16(g1, g1, 1);
// g0 g1 g2 ...
uint8x8x2_t gg = vzip_u8(vrshrn_n_u16(g0, 2), vmovn_u16(g1));
pix.val[1] = vcombine_u8(gg.val[0], gg.val[1]);
r0 = vshrq_n_u16(r1, 8);
r1 = vaddq_u16(r0, vextq_u16(r0, r0, 1));
// r0 r1 r2 ...
uint8x8x2_t rr = vzip_u8(vmovn_u16(r0), vrshrn_n_u16(r1, 1));
pix.val[1+blue] = vcombine_u8(rr.val[0], rr.val[1]);
vst4q_u8(dst-1, pix);
}
return (int)(bayer - (bayer_end - width));
}
int bayer2RGB_EA(const uchar*, int, uchar*, int, int) const
{
return 0;
}
};
#else
typedef SIMDBayerStubInterpolator_<uchar> SIMDBayerInterpolator_8u;
#endif
template<typename T, class SIMDInterpolator>
class Bayer2Gray_Invoker :
public ParallelLoopBody
{
public:
Bayer2Gray_Invoker(const Mat& _srcmat, Mat& _dstmat, int _start_with_green, bool _brow,
const Size& _size, int _bcoeff, int _rcoeff) :
ParallelLoopBody(), srcmat(_srcmat), dstmat(_dstmat), Start_with_green(_start_with_green),
Brow(_brow), size(_size), Bcoeff(_bcoeff), Rcoeff(_rcoeff)
{
}
virtual void operator ()(const Range& range) const CV_OVERRIDE
{
SIMDInterpolator vecOp;
const int G2Y = 9617;
const int SHIFT = 14;
const T* bayer0 = srcmat.ptr<T>();
int bayer_step = (int)(srcmat.step/sizeof(T));
T* dst0 = (T*)dstmat.data;
int dst_step = (int)(dstmat.step/sizeof(T));
int bcoeff = Bcoeff, rcoeff = Rcoeff;
int start_with_green = Start_with_green;
bool brow = Brow;
dst0 += dst_step + 1;
if (range.start % 2)
{
brow = !brow;
std::swap(bcoeff, rcoeff);
start_with_green = !start_with_green;
}
bayer0 += range.start * bayer_step;
dst0 += range.start * dst_step;
for(int i = range.start ; i < range.end; ++i, bayer0 += bayer_step, dst0 += dst_step )
{
unsigned t0, t1, t2;
const T* bayer = bayer0;
T* dst = dst0;
const T* bayer_end = bayer + size.width;
if( size.width <= 0 )
{
dst[-1] = dst[size.width] = 0;
continue;
}
if( start_with_green )
{
t0 = (bayer[1] + bayer[bayer_step*2+1])*rcoeff;
t1 = (bayer[bayer_step] + bayer[bayer_step+2])*bcoeff;
t2 = bayer[bayer_step+1]*(2*G2Y);
dst[0] = (T)CV_DESCALE(t0 + t1 + t2, SHIFT+1);
bayer++;
dst++;
}
int delta = vecOp.bayer2Gray(bayer, bayer_step, dst, size.width, bcoeff, G2Y, rcoeff);
bayer += delta;
dst += delta;
for( ; bayer <= bayer_end - 2; bayer += 2, dst += 2 )
{
t0 = (bayer[0] + bayer[2] + bayer[bayer_step*2] + bayer[bayer_step*2+2])*rcoeff;
t1 = (bayer[1] + bayer[bayer_step] + bayer[bayer_step+2] + bayer[bayer_step*2+1])*G2Y;
t2 = bayer[bayer_step+1]*(4*bcoeff);
dst[0] = (T)CV_DESCALE(t0 + t1 + t2, SHIFT+2);
t0 = (bayer[2] + bayer[bayer_step*2+2])*rcoeff;
t1 = (bayer[bayer_step+1] + bayer[bayer_step+3])*bcoeff;
t2 = bayer[bayer_step+2]*(2*G2Y);
dst[1] = (T)CV_DESCALE(t0 + t1 + t2, SHIFT+1);
}
if( bayer < bayer_end )
{
t0 = (bayer[0] + bayer[2] + bayer[bayer_step*2] + bayer[bayer_step*2+2])*rcoeff;
t1 = (bayer[1] + bayer[bayer_step] + bayer[bayer_step+2] + bayer[bayer_step*2+1])*G2Y;
t2 = bayer[bayer_step+1]*(4*bcoeff);
dst[0] = (T)CV_DESCALE(t0 + t1 + t2, SHIFT+2);
bayer++;
dst++;
}
dst0[-1] = dst0[0];
dst0[size.width] = dst0[size.width-1];
brow = !brow;
std::swap(bcoeff, rcoeff);
start_with_green = !start_with_green;
}
}
private:
Mat srcmat;
Mat dstmat;
int Start_with_green;
bool Brow;
Size size;
int Bcoeff, Rcoeff;
};
template<typename T, typename SIMDInterpolator>
static void Bayer2Gray_( const Mat& srcmat, Mat& dstmat, int code )
{
const int R2Y = 4899;
const int B2Y = 1868;
Size size = srcmat.size();
int bcoeff = B2Y, rcoeff = R2Y;
int start_with_green = code == COLOR_BayerGB2GRAY || code == COLOR_BayerGR2GRAY;
bool brow = true;
if( code != COLOR_BayerBG2GRAY && code != COLOR_BayerGB2GRAY )
{
brow = false;
std::swap(bcoeff, rcoeff);
}
size.height -= 2;
size.width -= 2;
if (size.height > 0)
{
Range range(0, size.height);
Bayer2Gray_Invoker<T, SIMDInterpolator> invoker(srcmat, dstmat,
start_with_green, brow, size, bcoeff, rcoeff);
parallel_for_(range, invoker, dstmat.total()/static_cast<double>(1<<16));
}
size = dstmat.size();
T* dst0 = dstmat.ptr<T>();
int dst_step = (int)(dstmat.step/sizeof(T));
if( size.height > 2 )
for( int i = 0; i < size.width; i++ )
{
dst0[i] = dst0[i + dst_step];
dst0[i + (size.height-1)*dst_step] = dst0[i + (size.height-2)*dst_step];
}
else
for( int i = 0; i < size.width; i++ )
dst0[i] = dst0[i + (size.height-1)*dst_step] = 0;
}
template <typename T>
struct Alpha
{
static T value() { return std::numeric_limits<T>::max(); }
};
template <>
struct Alpha<float>
{
static float value() { return 1.0f; }
};
template <typename T, typename SIMDInterpolator>
class Bayer2RGB_Invoker :
public ParallelLoopBody
{
public:
Bayer2RGB_Invoker(const Mat& _srcmat, Mat& _dstmat, int _start_with_green, int _blue, const Size& _size) :
ParallelLoopBody(),
srcmat(_srcmat), dstmat(_dstmat), Start_with_green(_start_with_green), Blue(_blue), size(_size)
{
}
virtual void operator() (const Range& range) const CV_OVERRIDE
{
SIMDInterpolator vecOp;
T alpha = Alpha<T>::value();
int dcn = dstmat.channels();
int dcn2 = dcn << 1;
int bayer_step = (int)(srcmat.step/sizeof(T));
const T* bayer0 = srcmat.ptr<T>() + bayer_step * range.start;
int dst_step = (int)(dstmat.step/sizeof(T));
T* dst0 = reinterpret_cast<T*>(dstmat.data) + (range.start + 1) * dst_step + dcn + 1;
int blue = Blue, start_with_green = Start_with_green;
if (range.start % 2)
{
blue = -blue;
start_with_green = !start_with_green;
}
for (int i = range.start; i < range.end; bayer0 += bayer_step, dst0 += dst_step, ++i )
{
int t0, t1;
const T* bayer = bayer0;
T* dst = dst0;
const T* bayer_end = bayer + size.width;
// in case of when size.width <= 2
if( size.width <= 0 )
{
if (dcn == 3)
{
dst[-4] = dst[-3] = dst[-2] = dst[size.width*dcn-1] =
dst[size.width*dcn] = dst[size.width*dcn+1] = 0;
}
else
{
dst[-5] = dst[-4] = dst[-3] = dst[size.width*dcn-1] =
dst[size.width*dcn] = dst[size.width*dcn+1] = 0;
dst[-2] = dst[size.width*dcn+2] = alpha;
}
continue;
}
if( start_with_green )
{
t0 = (bayer[1] + bayer[bayer_step*2+1] + 1) >> 1;
t1 = (bayer[bayer_step] + bayer[bayer_step+2] + 1) >> 1;
dst[-blue] = (T)t0;
dst[0] = bayer[bayer_step+1];
dst[blue] = (T)t1;
if (dcn == 4)
dst[2] = alpha; // alpha channel
bayer++;
dst += dcn;
}
// simd optimization only for dcn == 3
int delta = dcn == 4 ?
vecOp.bayer2RGBA(bayer, bayer_step, dst, size.width, blue) :
vecOp.bayer2RGB(bayer, bayer_step, dst, size.width, blue);
bayer += delta;
dst += delta*dcn;
if (dcn == 3) // Bayer to BGR
{
if( blue > 0 )
{
for( ; bayer <= bayer_end - 2; bayer += 2, dst += dcn2 )
{
t0 = (bayer[0] + bayer[2] + bayer[bayer_step*2] +
bayer[bayer_step*2+2] + 2) >> 2;
t1 = (bayer[1] + bayer[bayer_step] +
bayer[bayer_step+2] + bayer[bayer_step*2+1]+2) >> 2;
dst[-1] = (T)t0;
dst[0] = (T)t1;
dst[1] = bayer[bayer_step+1];
t0 = (bayer[2] + bayer[bayer_step*2+2] + 1) >> 1;
t1 = (bayer[bayer_step+1] + bayer[bayer_step+3] + 1) >> 1;
dst[2] = (T)t0;
dst[3] = bayer[bayer_step+2];
dst[4] = (T)t1;
}
}
else
{
for( ; bayer <= bayer_end - 2; bayer += 2, dst += dcn2 )
{
t0 = (bayer[0] + bayer[2] + bayer[bayer_step*2] +
bayer[bayer_step*2+2] + 2) >> 2;
t1 = (bayer[1] + bayer[bayer_step] +
bayer[bayer_step+2] + bayer[bayer_step*2+1]+2) >> 2;
dst[1] = (T)t0;
dst[0] = (T)t1;
dst[-1] = bayer[bayer_step+1];
t0 = (bayer[2] + bayer[bayer_step*2+2] + 1) >> 1;
t1 = (bayer[bayer_step+1] + bayer[bayer_step+3] + 1) >> 1;
dst[4] = (T)t0;
dst[3] = bayer[bayer_step+2];
dst[2] = (T)t1;
}
}
}
else // Bayer to BGRA
{
// if current row does not contain Blue pixels
if( blue > 0 )
{
for( ; bayer <= bayer_end - 2; bayer += 2, dst += dcn2 )
{
t0 = (bayer[0] + bayer[2] + bayer[bayer_step*2] +
bayer[bayer_step*2+2] + 2) >> 2;
t1 = (bayer[1] + bayer[bayer_step] +
bayer[bayer_step+2] + bayer[bayer_step*2+1]+2) >> 2;
dst[-1] = (T)t0;
dst[0] = (T)t1;
dst[1] = bayer[bayer_step+1];
dst[2] = alpha; // alpha channel
t0 = (bayer[2] + bayer[bayer_step*2+2] + 1) >> 1;
t1 = (bayer[bayer_step+1] + bayer[bayer_step+3] + 1) >> 1;
dst[3] = (T)t0;
dst[4] = bayer[bayer_step+2];
dst[5] = (T)t1;
dst[6] = alpha; // alpha channel
}
}
else // if current row contains Blue pixels
{
for( ; bayer <= bayer_end - 2; bayer += 2, dst += dcn2 )
{
t0 = (bayer[0] + bayer[2] + bayer[bayer_step*2] +
bayer[bayer_step*2+2] + 2) >> 2;
t1 = (bayer[1] + bayer[bayer_step] +
bayer[bayer_step+2] + bayer[bayer_step*2+1]+2) >> 2;
dst[-1] = bayer[bayer_step+1];
dst[0] = (T)t1;
dst[1] = (T)t0;
dst[2] = alpha; // alpha channel
t0 = (bayer[2] + bayer[bayer_step*2+2] + 1) >> 1;
t1 = (bayer[bayer_step+1] + bayer[bayer_step+3] + 1) >> 1;
dst[3] = (T)t1;
dst[4] = bayer[bayer_step+2];
dst[5] = (T)t0;
dst[6] = alpha; // alpha channel
}
}
}
// if skip one pixel at the end of row
if( bayer < bayer_end )
{
t0 = (bayer[0] + bayer[2] + bayer[bayer_step*2] +
bayer[bayer_step*2+2] + 2) >> 2;
t1 = (bayer[1] + bayer[bayer_step] +
bayer[bayer_step+2] + bayer[bayer_step*2+1]+2) >> 2;
dst[-blue] = (T)t0;
dst[0] = (T)t1;
dst[blue] = bayer[bayer_step+1];
if (dcn == 4)
dst[2] = alpha; // alpha channel
bayer++;
dst += dcn;
}
// fill the last and the first pixels of row accordingly
if (dcn == 3)
{
dst0[-4] = dst0[-1];
dst0[-3] = dst0[0];
dst0[-2] = dst0[1];
dst0[size.width*dcn-1] = dst0[size.width*dcn-4];
dst0[size.width*dcn] = dst0[size.width*dcn-3];
dst0[size.width*dcn+1] = dst0[size.width*dcn-2];
}
else
{
dst0[-5] = dst0[-1];
dst0[-4] = dst0[0];
dst0[-3] = dst0[1];
dst0[-2] = dst0[2]; // alpha channel
dst0[size.width*dcn-1] = dst0[size.width*dcn-5];
dst0[size.width*dcn] = dst0[size.width*dcn-4];
dst0[size.width*dcn+1] = dst0[size.width*dcn-3];
dst0[size.width*dcn+2] = dst0[size.width*dcn-2]; // alpha channel
}
blue = -blue;
start_with_green = !start_with_green;
}
}
private:
Mat srcmat;
Mat dstmat;
int Start_with_green, Blue;
Size size;
};
template<typename T, class SIMDInterpolator>
static void Bayer2RGB_( const Mat& srcmat, Mat& dstmat, int code )
{
int dst_step = (int)(dstmat.step/sizeof(T));
Size size = srcmat.size();
int blue = (code == COLOR_BayerBG2BGR || code == COLOR_BayerGB2BGR ||
code == COLOR_BayerBG2BGRA || code == COLOR_BayerGB2BGRA ) ? -1 : 1;
int start_with_green = (code == COLOR_BayerGB2BGR || code == COLOR_BayerGR2BGR ||
code == COLOR_BayerGB2BGRA || code == COLOR_BayerGR2BGRA);
int dcn = dstmat.channels();
size.height -= 2;
size.width -= 2;
if (size.height > 0)
{
Range range(0, size.height);
Bayer2RGB_Invoker<T, SIMDInterpolator> invoker(srcmat, dstmat, start_with_green, blue, size);
parallel_for_(range, invoker, dstmat.total()/static_cast<double>(1<<16));
}
// filling the first and the last rows
size = dstmat.size();
T* dst0 = dstmat.ptr<T>();
if( size.height > 2 )
for( int i = 0; i < size.width*dcn; i++ )
{
dst0[i] = dst0[i + dst_step];
dst0[i + (size.height-1)*dst_step] = dst0[i + (size.height-2)*dst_step];
}
else
for( int i = 0; i < size.width*dcn; i++ )
dst0[i] = dst0[i + (size.height-1)*dst_step] = 0;
}
/////////////////// Demosaicing using Variable Number of Gradients ///////////////////////
static void Bayer2RGB_VNG_8u( const Mat& srcmat, Mat& dstmat, int code )
{
const uchar* bayer = srcmat.ptr();
int bstep = (int)srcmat.step;
uchar* dst = dstmat.ptr();
int dststep = (int)dstmat.step;
Size size = srcmat.size();
int blueIdx = code == COLOR_BayerBG2BGR_VNG || code == COLOR_BayerGB2BGR_VNG ? 0 : 2;
bool greenCell0 = code != COLOR_BayerBG2BGR_VNG && code != COLOR_BayerRG2BGR_VNG;
// for too small images use the simple interpolation algorithm
if( MIN(size.width, size.height) < 8 )
{
Bayer2RGB_<uchar, SIMDBayerInterpolator_8u>( srcmat, dstmat, code );
return;
}
const int brows = 3, bcn = 7;
int N = size.width, N2 = N*2, N3 = N*3, N4 = N*4, N5 = N*5, N6 = N*6, N7 = N*7;
int i, bufstep = N7*bcn;
cv::AutoBuffer<ushort> _buf(bufstep*brows);
ushort* buf = _buf.data();
bayer += bstep*2;
#if CV_SSE2
bool haveSSE = cv::checkHardwareSupport(CV_CPU_SSE2);
#define _mm_absdiff_epu16(a,b) _mm_adds_epu16(_mm_subs_epu16(a, b), _mm_subs_epu16(b, a))
#endif
for( int y = 2; y < size.height - 4; y++ )
{
uchar* dstrow = dst + dststep*y + 6;
const uchar* srow;
for( int dy = (y == 2 ? -1 : 1); dy <= 1; dy++ )
{
ushort* brow = buf + ((y + dy - 1)%brows)*bufstep + 1;
srow = bayer + (y+dy)*bstep + 1;
for( i = 0; i < bcn; i++ )
brow[N*i-1] = brow[(N-2) + N*i] = 0;
i = 1;
#if CV_SSE2
if( haveSSE )
{
__m128i z = _mm_setzero_si128();
for( ; i <= N-9; i += 8, srow += 8, brow += 8 )
{
__m128i s1, s2, s3, s4, s6, s7, s8, s9;
s1 = _mm_unpacklo_epi8(_mm_loadl_epi64((__m128i*)(srow-1-bstep)),z);
s2 = _mm_unpacklo_epi8(_mm_loadl_epi64((__m128i*)(srow-bstep)),z);
s3 = _mm_unpacklo_epi8(_mm_loadl_epi64((__m128i*)(srow+1-bstep)),z);
s4 = _mm_unpacklo_epi8(_mm_loadl_epi64((__m128i*)(srow-1)),z);
s6 = _mm_unpacklo_epi8(_mm_loadl_epi64((__m128i*)(srow+1)),z);
s7 = _mm_unpacklo_epi8(_mm_loadl_epi64((__m128i*)(srow-1+bstep)),z);
s8 = _mm_unpacklo_epi8(_mm_loadl_epi64((__m128i*)(srow+bstep)),z);
s9 = _mm_unpacklo_epi8(_mm_loadl_epi64((__m128i*)(srow+1+bstep)),z);
__m128i b0, b1, b2, b3, b4, b5, b6;
b0 = _mm_adds_epu16(_mm_slli_epi16(_mm_absdiff_epu16(s2,s8),1),
_mm_adds_epu16(_mm_absdiff_epu16(s1, s7),
_mm_absdiff_epu16(s3, s9)));
b1 = _mm_adds_epu16(_mm_slli_epi16(_mm_absdiff_epu16(s4,s6),1),
_mm_adds_epu16(_mm_absdiff_epu16(s1, s3),
_mm_absdiff_epu16(s7, s9)));
b2 = _mm_slli_epi16(_mm_absdiff_epu16(s3,s7),1);
b3 = _mm_slli_epi16(_mm_absdiff_epu16(s1,s9),1);
_mm_storeu_si128((__m128i*)brow, b0);
_mm_storeu_si128((__m128i*)(brow + N), b1);
_mm_storeu_si128((__m128i*)(brow + N2), b2);
_mm_storeu_si128((__m128i*)(brow + N3), b3);
b4 = _mm_adds_epu16(b2,_mm_adds_epu16(_mm_absdiff_epu16(s2, s4),
_mm_absdiff_epu16(s6, s8)));
b5 = _mm_adds_epu16(b3,_mm_adds_epu16(_mm_absdiff_epu16(s2, s6),
_mm_absdiff_epu16(s4, s8)));
b6 = _mm_adds_epu16(_mm_adds_epu16(s2, s4), _mm_adds_epu16(s6, s8));
b6 = _mm_srli_epi16(b6, 1);
_mm_storeu_si128((__m128i*)(brow + N4), b4);
_mm_storeu_si128((__m128i*)(brow + N5), b5);
_mm_storeu_si128((__m128i*)(brow + N6), b6);
}
}
#endif
for( ; i < N-1; i++, srow++, brow++ )
{
brow[0] = (ushort)(std::abs(srow[-1-bstep] - srow[-1+bstep]) +
std::abs(srow[-bstep] - srow[+bstep])*2 +
std::abs(srow[1-bstep] - srow[1+bstep]));
brow[N] = (ushort)(std::abs(srow[-1-bstep] - srow[1-bstep]) +
std::abs(srow[-1] - srow[1])*2 +
std::abs(srow[-1+bstep] - srow[1+bstep]));
brow[N2] = (ushort)(std::abs(srow[+1-bstep] - srow[-1+bstep])*2);
brow[N3] = (ushort)(std::abs(srow[-1-bstep] - srow[1+bstep])*2);
brow[N4] = (ushort)(brow[N2] + std::abs(srow[-bstep] - srow[-1]) +
std::abs(srow[+bstep] - srow[1]));
brow[N5] = (ushort)(brow[N3] + std::abs(srow[-bstep] - srow[1]) +
std::abs(srow[+bstep] - srow[-1]));
brow[N6] = (ushort)((srow[-bstep] + srow[-1] + srow[1] + srow[+bstep])>>1);
}
}
const ushort* brow0 = buf + ((y - 2) % brows)*bufstep + 2;
const ushort* brow1 = buf + ((y - 1) % brows)*bufstep + 2;
const ushort* brow2 = buf + (y % brows)*bufstep + 2;
static const float scale[] = { 0.f, 0.5f, 0.25f, 0.1666666666667f, 0.125f, 0.1f, 0.08333333333f, 0.0714286f, 0.0625f };
srow = bayer + y*bstep + 2;
bool greenCell = greenCell0;
i = 2;
#if CV_SSE2
int limit = !haveSSE ? N-2 : greenCell ? std::min(3, N-2) : 2;
#else
int limit = N - 2;
#endif
do
{
for( ; i < limit; i++, srow++, brow0++, brow1++, brow2++, dstrow += 3 )
{
int gradN = brow0[0] + brow1[0];
int gradS = brow1[0] + brow2[0];
int gradW = brow1[N-1] + brow1[N];
int gradE = brow1[N] + brow1[N+1];
int minGrad = std::min(std::min(std::min(gradN, gradS), gradW), gradE);
int maxGrad = std::max(std::max(std::max(gradN, gradS), gradW), gradE);
int R, G, B;
if( !greenCell )
{
int gradNE = brow0[N4+1] + brow1[N4];
int gradSW = brow1[N4] + brow2[N4-1];
int gradNW = brow0[N5-1] + brow1[N5];
int gradSE = brow1[N5] + brow2[N5+1];
minGrad = std::min(std::min(std::min(std::min(minGrad, gradNE), gradSW), gradNW), gradSE);
maxGrad = std::max(std::max(std::max(std::max(maxGrad, gradNE), gradSW), gradNW), gradSE);
int T = minGrad + MAX(maxGrad/2, 1);
int Rs = 0, Gs = 0, Bs = 0, ng = 0;
if( gradN < T )
{
Rs += srow[-bstep*2] + srow[0];
Gs += srow[-bstep]*2;
Bs += srow[-bstep-1] + srow[-bstep+1];
ng++;
}
if( gradS < T )
{
Rs += srow[bstep*2] + srow[0];
Gs += srow[bstep]*2;
Bs += srow[bstep-1] + srow[bstep+1];
ng++;
}
if( gradW < T )
{
Rs += srow[-2] + srow[0];
Gs += srow[-1]*2;
Bs += srow[-bstep-1] + srow[bstep-1];
ng++;
}
if( gradE < T )
{
Rs += srow[2] + srow[0];
Gs += srow[1]*2;
Bs += srow[-bstep+1] + srow[bstep+1];
ng++;
}
if( gradNE < T )
{
Rs += srow[-bstep*2+2] + srow[0];
Gs += brow0[N6+1];
Bs += srow[-bstep+1]*2;
ng++;
}
if( gradSW < T )
{
Rs += srow[bstep*2-2] + srow[0];
Gs += brow2[N6-1];
Bs += srow[bstep-1]*2;
ng++;
}
if( gradNW < T )
{
Rs += srow[-bstep*2-2] + srow[0];
Gs += brow0[N6-1];
Bs += srow[-bstep-1]*2;
ng++;
}
if( gradSE < T )
{
Rs += srow[bstep*2+2] + srow[0];
Gs += brow2[N6+1];
Bs += srow[bstep+1]*2;
ng++;
}
R = srow[0];
G = R + cvRound((Gs - Rs)*scale[ng]);
B = R + cvRound((Bs - Rs)*scale[ng]);
}
else
{
int gradNE = brow0[N2] + brow0[N2+1] + brow1[N2] + brow1[N2+1];
int gradSW = brow1[N2] + brow1[N2-1] + brow2[N2] + brow2[N2-1];
int gradNW = brow0[N3] + brow0[N3-1] + brow1[N3] + brow1[N3-1];
int gradSE = brow1[N3] + brow1[N3+1] + brow2[N3] + brow2[N3+1];
minGrad = std::min(std::min(std::min(std::min(minGrad, gradNE), gradSW), gradNW), gradSE);
maxGrad = std::max(std::max(std::max(std::max(maxGrad, gradNE), gradSW), gradNW), gradSE);
int T = minGrad + MAX(maxGrad/2, 1);
int Rs = 0, Gs = 0, Bs = 0, ng = 0;
if( gradN < T )
{
Rs += srow[-bstep*2-1] + srow[-bstep*2+1];
Gs += srow[-bstep*2] + srow[0];
Bs += srow[-bstep]*2;
ng++;
}
if( gradS < T )
{
Rs += srow[bstep*2-1] + srow[bstep*2+1];
Gs += srow[bstep*2] + srow[0];
Bs += srow[bstep]*2;
ng++;
}
if( gradW < T )
{
Rs += srow[-1]*2;
Gs += srow[-2] + srow[0];
Bs += srow[-bstep-2]+srow[bstep-2];
ng++;
}
if( gradE < T )
{
Rs += srow[1]*2;
Gs += srow[2] + srow[0];
Bs += srow[-bstep+2]+srow[bstep+2];
ng++;
}
if( gradNE < T )
{
Rs += srow[-bstep*2+1] + srow[1];
Gs += srow[-bstep+1]*2;
Bs += srow[-bstep] + srow[-bstep+2];
ng++;
}
if( gradSW < T )
{
Rs += srow[bstep*2-1] + srow[-1];
Gs += srow[bstep-1]*2;
Bs += srow[bstep] + srow[bstep-2];
ng++;
}
if( gradNW < T )
{
Rs += srow[-bstep*2-1] + srow[-1];
Gs += srow[-bstep-1]*2;
Bs += srow[-bstep-2]+srow[-bstep];
ng++;
}
if( gradSE < T )
{
Rs += srow[bstep*2+1] + srow[1];
Gs += srow[bstep+1]*2;
Bs += srow[bstep+2]+srow[bstep];
ng++;
}
G = srow[0];
R = G + cvRound((Rs - Gs)*scale[ng]);
B = G + cvRound((Bs - Gs)*scale[ng]);
}
dstrow[blueIdx] = cv::saturate_cast<uchar>(B);
dstrow[1] = cv::saturate_cast<uchar>(G);
dstrow[blueIdx^2] = cv::saturate_cast<uchar>(R);
greenCell = !greenCell;
}
#if CV_SSE2
if( !haveSSE )
break;
__m128i emask = _mm_set1_epi32(0x0000ffff),
omask = _mm_set1_epi32(0xffff0000),
z = _mm_setzero_si128(),
one = _mm_set1_epi16(1);
__m128 _0_5 = _mm_set1_ps(0.5f);
#define _mm_merge_epi16(a, b) _mm_or_si128(_mm_and_si128(a, emask), _mm_and_si128(b, omask)) //(aA_aA_aA_aA) * (bB_bB_bB_bB) => (bA_bA_bA_bA)
#define _mm_cvtloepi16_ps(a) _mm_cvtepi32_ps(_mm_srai_epi32(_mm_unpacklo_epi16(a,a), 16)) //(1,2,3,4,5,6,7,8) => (1f,2f,3f,4f)
#define _mm_cvthiepi16_ps(a) _mm_cvtepi32_ps(_mm_srai_epi32(_mm_unpackhi_epi16(a,a), 16)) //(1,2,3,4,5,6,7,8) => (5f,6f,7f,8f)
#define _mm_loadl_u8_s16(ptr, offset) _mm_unpacklo_epi8(_mm_loadl_epi64((__m128i*)((ptr) + (offset))), z) //load 8 uchars to 8 shorts
// process 8 pixels at once
for( ; i <= N - 10; i += 8, srow += 8, brow0 += 8, brow1 += 8, brow2 += 8 )
{
//int gradN = brow0[0] + brow1[0];
__m128i gradN = _mm_adds_epi16(_mm_loadu_si128((__m128i*)brow0), _mm_loadu_si128((__m128i*)brow1));
//int gradS = brow1[0] + brow2[0];
__m128i gradS = _mm_adds_epi16(_mm_loadu_si128((__m128i*)brow1), _mm_loadu_si128((__m128i*)brow2));
//int gradW = brow1[N-1] + brow1[N];
__m128i gradW = _mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow1+N-1)), _mm_loadu_si128((__m128i*)(brow1+N)));
//int gradE = brow1[N+1] + brow1[N];
__m128i gradE = _mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow1+N+1)), _mm_loadu_si128((__m128i*)(brow1+N)));
//int minGrad = std::min(std::min(std::min(gradN, gradS), gradW), gradE);
//int maxGrad = std::max(std::max(std::max(gradN, gradS), gradW), gradE);
__m128i minGrad = _mm_min_epi16(_mm_min_epi16(gradN, gradS), _mm_min_epi16(gradW, gradE));
__m128i maxGrad = _mm_max_epi16(_mm_max_epi16(gradN, gradS), _mm_max_epi16(gradW, gradE));
__m128i grad0, grad1;
//int gradNE = brow0[N4+1] + brow1[N4];
//int gradNE = brow0[N2] + brow0[N2+1] + brow1[N2] + brow1[N2+1];
grad0 = _mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow0+N4+1)), _mm_loadu_si128((__m128i*)(brow1+N4)));
grad1 = _mm_adds_epi16( _mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow0+N2)), _mm_loadu_si128((__m128i*)(brow0+N2+1))),
_mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow1+N2)), _mm_loadu_si128((__m128i*)(brow1+N2+1))));
__m128i gradNE = _mm_merge_epi16(grad0, grad1);
//int gradSW = brow1[N4] + brow2[N4-1];
//int gradSW = brow1[N2] + brow1[N2-1] + brow2[N2] + brow2[N2-1];
grad0 = _mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow2+N4-1)), _mm_loadu_si128((__m128i*)(brow1+N4)));
grad1 = _mm_adds_epi16(_mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow2+N2)), _mm_loadu_si128((__m128i*)(brow2+N2-1))),
_mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow1+N2)), _mm_loadu_si128((__m128i*)(brow1+N2-1))));
__m128i gradSW = _mm_merge_epi16(grad0, grad1);
minGrad = _mm_min_epi16(_mm_min_epi16(minGrad, gradNE), gradSW);
maxGrad = _mm_max_epi16(_mm_max_epi16(maxGrad, gradNE), gradSW);
//int gradNW = brow0[N5-1] + brow1[N5];
//int gradNW = brow0[N3] + brow0[N3-1] + brow1[N3] + brow1[N3-1];
grad0 = _mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow0+N5-1)), _mm_loadu_si128((__m128i*)(brow1+N5)));
grad1 = _mm_adds_epi16(_mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow0+N3)), _mm_loadu_si128((__m128i*)(brow0+N3-1))),
_mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow1+N3)), _mm_loadu_si128((__m128i*)(brow1+N3-1))));
__m128i gradNW = _mm_merge_epi16(grad0, grad1);
//int gradSE = brow1[N5] + brow2[N5+1];
//int gradSE = brow1[N3] + brow1[N3+1] + brow2[N3] + brow2[N3+1];
grad0 = _mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow2+N5+1)), _mm_loadu_si128((__m128i*)(brow1+N5)));
grad1 = _mm_adds_epi16(_mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow2+N3)), _mm_loadu_si128((__m128i*)(brow2+N3+1))),
_mm_adds_epi16(_mm_loadu_si128((__m128i*)(brow1+N3)), _mm_loadu_si128((__m128i*)(brow1+N3+1))));
__m128i gradSE = _mm_merge_epi16(grad0, grad1);
minGrad = _mm_min_epi16(_mm_min_epi16(minGrad, gradNW), gradSE);
maxGrad = _mm_max_epi16(_mm_max_epi16(maxGrad, gradNW), gradSE);
//int T = minGrad + maxGrad/2;
__m128i T = _mm_adds_epi16(_mm_max_epi16(_mm_srli_epi16(maxGrad, 1), one), minGrad);
__m128i RGs = z, GRs = z, Bs = z, ng = z;
__m128i x0 = _mm_loadl_u8_s16(srow, +0 );
__m128i x1 = _mm_loadl_u8_s16(srow, -1 - bstep );
__m128i x2 = _mm_loadl_u8_s16(srow, -1 - bstep*2);
__m128i x3 = _mm_loadl_u8_s16(srow, - bstep );
__m128i x4 = _mm_loadl_u8_s16(srow, +1 - bstep*2);
__m128i x5 = _mm_loadl_u8_s16(srow, +1 - bstep );
__m128i x6 = _mm_loadl_u8_s16(srow, +2 - bstep );
__m128i x7 = _mm_loadl_u8_s16(srow, +1 );
__m128i x8 = _mm_loadl_u8_s16(srow, +2 + bstep );
__m128i x9 = _mm_loadl_u8_s16(srow, +1 + bstep );
__m128i x10 = _mm_loadl_u8_s16(srow, +1 + bstep*2);
__m128i x11 = _mm_loadl_u8_s16(srow, + bstep );
__m128i x12 = _mm_loadl_u8_s16(srow, -1 + bstep*2);
__m128i x13 = _mm_loadl_u8_s16(srow, -1 + bstep );
__m128i x14 = _mm_loadl_u8_s16(srow, -2 + bstep );
__m128i x15 = _mm_loadl_u8_s16(srow, -1 );
__m128i x16 = _mm_loadl_u8_s16(srow, -2 - bstep );
__m128i t0, t1, mask;
// gradN ***********************************************
mask = _mm_cmpgt_epi16(T, gradN); // mask = T>gradN
ng = _mm_sub_epi16(ng, mask); // ng += (T>gradN)
t0 = _mm_slli_epi16(x3, 1); // srow[-bstep]*2
t1 = _mm_adds_epi16(_mm_loadl_u8_s16(srow, -bstep*2), x0); // srow[-bstep*2] + srow[0]
// RGs += (srow[-bstep*2] + srow[0]) * (T>gradN)
RGs = _mm_adds_epi16(RGs, _mm_and_si128(t1, mask));
// GRs += {srow[-bstep]*2; (srow[-bstep*2-1] + srow[-bstep*2+1])} * (T>gradN)
GRs = _mm_adds_epi16(GRs, _mm_and_si128(_mm_merge_epi16(t0, _mm_adds_epi16(x2,x4)), mask));
// Bs += {(srow[-bstep-1]+srow[-bstep+1]); srow[-bstep]*2 } * (T>gradN)
Bs = _mm_adds_epi16(Bs, _mm_and_si128(_mm_merge_epi16(_mm_adds_epi16(x1,x5), t0), mask));
// gradNE **********************************************
mask = _mm_cmpgt_epi16(T, gradNE); // mask = T>gradNE
ng = _mm_sub_epi16(ng, mask); // ng += (T>gradNE)
t0 = _mm_slli_epi16(x5, 1); // srow[-bstep+1]*2
t1 = _mm_adds_epi16(_mm_loadl_u8_s16(srow, -bstep*2+2), x0); // srow[-bstep*2+2] + srow[0]
// RGs += {(srow[-bstep*2+2] + srow[0]); srow[-bstep+1]*2} * (T>gradNE)
RGs = _mm_adds_epi16(RGs, _mm_and_si128(_mm_merge_epi16(t1, t0), mask));
// GRs += {brow0[N6+1]; (srow[-bstep*2+1] + srow[1])} * (T>gradNE)
GRs = _mm_adds_epi16(GRs, _mm_and_si128(_mm_merge_epi16(_mm_loadu_si128((__m128i*)(brow0+N6+1)), _mm_adds_epi16(x4,x7)), mask));
// Bs += {srow[-bstep+1]*2; (srow[-bstep] + srow[-bstep+2])} * (T>gradNE)
Bs = _mm_adds_epi16(Bs, _mm_and_si128(_mm_merge_epi16(t0,_mm_adds_epi16(x3,x6)), mask));
// gradE ***********************************************
mask = _mm_cmpgt_epi16(T, gradE); // mask = T>gradE
ng = _mm_sub_epi16(ng, mask); // ng += (T>gradE)
t0 = _mm_slli_epi16(x7, 1); // srow[1]*2
t1 = _mm_adds_epi16(_mm_loadl_u8_s16(srow, 2), x0); // srow[2] + srow[0]
// RGs += (srow[2] + srow[0]) * (T>gradE)
RGs = _mm_adds_epi16(RGs, _mm_and_si128(t1, mask));
// GRs += (srow[1]*2) * (T>gradE)
GRs = _mm_adds_epi16(GRs, _mm_and_si128(t0, mask));
// Bs += {(srow[-bstep+1]+srow[bstep+1]); (srow[-bstep+2]+srow[bstep+2])} * (T>gradE)
Bs = _mm_adds_epi16(Bs, _mm_and_si128(_mm_merge_epi16(_mm_adds_epi16(x5,x9), _mm_adds_epi16(x6,x8)), mask));
// gradSE **********************************************
mask = _mm_cmpgt_epi16(T, gradSE); // mask = T>gradSE
ng = _mm_sub_epi16(ng, mask); // ng += (T>gradSE)
t0 = _mm_slli_epi16(x9, 1); // srow[bstep+1]*2
t1 = _mm_adds_epi16(_mm_loadl_u8_s16(srow, bstep*2+2), x0); // srow[bstep*2+2] + srow[0]
// RGs += {(srow[bstep*2+2] + srow[0]); srow[bstep+1]*2} * (T>gradSE)
RGs = _mm_adds_epi16(RGs, _mm_and_si128(_mm_merge_epi16(t1, t0), mask));
// GRs += {brow2[N6+1]; (srow[1]+srow[bstep*2+1])} * (T>gradSE)
GRs = _mm_adds_epi16(GRs, _mm_and_si128(_mm_merge_epi16(_mm_loadu_si128((__m128i*)(brow2+N6+1)), _mm_adds_epi16(x7,x10)), mask));
// Bs += {srow[bstep+1]*2; (srow[bstep+2]+srow[bstep])} * (T>gradSE)
Bs = _mm_adds_epi16(Bs, _mm_and_si128(_mm_merge_epi16(_mm_slli_epi16(x9, 1), _mm_adds_epi16(x8,x11)), mask));
// gradS ***********************************************
mask = _mm_cmpgt_epi16(T, gradS); // mask = T>gradS
ng = _mm_sub_epi16(ng, mask); // ng += (T>gradS)
t0 = _mm_slli_epi16(x11, 1); // srow[bstep]*2
t1 = _mm_adds_epi16(_mm_loadl_u8_s16(srow,bstep*2), x0); // srow[bstep*2]+srow[0]
// RGs += (srow[bstep*2]+srow[0]) * (T>gradS)
RGs = _mm_adds_epi16(RGs, _mm_and_si128(t1, mask));
// GRs += {srow[bstep]*2; (srow[bstep*2+1]+srow[bstep*2-1])} * (T>gradS)
GRs = _mm_adds_epi16(GRs, _mm_and_si128(_mm_merge_epi16(t0, _mm_adds_epi16(x10,x12)), mask));
// Bs += {(srow[bstep+1]+srow[bstep-1]); srow[bstep]*2} * (T>gradS)
Bs = _mm_adds_epi16(Bs, _mm_and_si128(_mm_merge_epi16(_mm_adds_epi16(x9,x13), t0), mask));
// gradSW **********************************************
mask = _mm_cmpgt_epi16(T, gradSW); // mask = T>gradSW
ng = _mm_sub_epi16(ng, mask); // ng += (T>gradSW)
t0 = _mm_slli_epi16(x13, 1); // srow[bstep-1]*2
t1 = _mm_adds_epi16(_mm_loadl_u8_s16(srow, bstep*2-2), x0); // srow[bstep*2-2]+srow[0]
// RGs += {(srow[bstep*2-2]+srow[0]); srow[bstep-1]*2} * (T>gradSW)
RGs = _mm_adds_epi16(RGs, _mm_and_si128(_mm_merge_epi16(t1, t0), mask));
// GRs += {brow2[N6-1]; (srow[bstep*2-1]+srow[-1])} * (T>gradSW)
GRs = _mm_adds_epi16(GRs, _mm_and_si128(_mm_merge_epi16(_mm_loadu_si128((__m128i*)(brow2+N6-1)), _mm_adds_epi16(x12,x15)), mask));
// Bs += {srow[bstep-1]*2; (srow[bstep]+srow[bstep-2])} * (T>gradSW)
Bs = _mm_adds_epi16(Bs, _mm_and_si128(_mm_merge_epi16(t0,_mm_adds_epi16(x11,x14)), mask));
// gradW ***********************************************
mask = _mm_cmpgt_epi16(T, gradW); // mask = T>gradW
ng = _mm_sub_epi16(ng, mask); // ng += (T>gradW)
t0 = _mm_slli_epi16(x15, 1); // srow[-1]*2
t1 = _mm_adds_epi16(_mm_loadl_u8_s16(srow, -2), x0); // srow[-2]+srow[0]
// RGs += (srow[-2]+srow[0]) * (T>gradW)
RGs = _mm_adds_epi16(RGs, _mm_and_si128(t1, mask));
// GRs += (srow[-1]*2) * (T>gradW)
GRs = _mm_adds_epi16(GRs, _mm_and_si128(t0, mask));
// Bs += {(srow[-bstep-1]+srow[bstep-1]); (srow[bstep-2]+srow[-bstep-2])} * (T>gradW)
Bs = _mm_adds_epi16(Bs, _mm_and_si128(_mm_merge_epi16(_mm_adds_epi16(x1,x13), _mm_adds_epi16(x14,x16)), mask));
// gradNW **********************************************
mask = _mm_cmpgt_epi16(T, gradNW); // mask = T>gradNW
ng = _mm_sub_epi16(ng, mask); // ng += (T>gradNW)
t0 = _mm_slli_epi16(x1, 1); // srow[-bstep-1]*2
t1 = _mm_adds_epi16(_mm_loadl_u8_s16(srow,-bstep*2-2), x0); // srow[-bstep*2-2]+srow[0]
// RGs += {(srow[-bstep*2-2]+srow[0]); srow[-bstep-1]*2} * (T>gradNW)
RGs = _mm_adds_epi16(RGs, _mm_and_si128(_mm_merge_epi16(t1, t0), mask));
// GRs += {brow0[N6-1]; (srow[-bstep*2-1]+srow[-1])} * (T>gradNW)
GRs = _mm_adds_epi16(GRs, _mm_and_si128(_mm_merge_epi16(_mm_loadu_si128((__m128i*)(brow0+N6-1)), _mm_adds_epi16(x2,x15)), mask));
// Bs += {srow[-bstep-1]*2; (srow[-bstep]+srow[-bstep-2])} * (T>gradNW)
Bs = _mm_adds_epi16(Bs, _mm_and_si128(_mm_merge_epi16(_mm_slli_epi16(x1, 1),_mm_adds_epi16(x3,x16)), mask));
__m128 ngf0 = _mm_div_ps(_0_5, _mm_cvtloepi16_ps(ng));
__m128 ngf1 = _mm_div_ps(_0_5, _mm_cvthiepi16_ps(ng));
// now interpolate r, g & b
t0 = _mm_subs_epi16(GRs, RGs);
t1 = _mm_subs_epi16(Bs, RGs);
t0 = _mm_add_epi16(x0, _mm_packs_epi32(
_mm_cvtps_epi32(_mm_mul_ps(_mm_cvtloepi16_ps(t0), ngf0)),
_mm_cvtps_epi32(_mm_mul_ps(_mm_cvthiepi16_ps(t0), ngf1))));
t1 = _mm_add_epi16(x0, _mm_packs_epi32(
_mm_cvtps_epi32(_mm_mul_ps(_mm_cvtloepi16_ps(t1), ngf0)),
_mm_cvtps_epi32(_mm_mul_ps(_mm_cvthiepi16_ps(t1), ngf1))));
x1 = _mm_merge_epi16(x0, t0);
x2 = _mm_merge_epi16(t0, x0);
uchar R[8], G[8], B[8];
_mm_storel_epi64(blueIdx ? (__m128i*)B : (__m128i*)R, _mm_packus_epi16(x1, z));
_mm_storel_epi64((__m128i*)G, _mm_packus_epi16(x2, z));
_mm_storel_epi64(blueIdx ? (__m128i*)R : (__m128i*)B, _mm_packus_epi16(t1, z));
for( int j = 0; j < 8; j++, dstrow += 3 )
{
dstrow[0] = B[j]; dstrow[1] = G[j]; dstrow[2] = R[j];
}
}
#endif
limit = N - 2;
}
while( i < N - 2 );
for( i = 0; i < 6; i++ )
{
dst[dststep*y + 5 - i] = dst[dststep*y + 8 - i];
dst[dststep*y + (N - 2)*3 + i] = dst[dststep*y + (N - 3)*3 + i];
}
greenCell0 = !greenCell0;
blueIdx ^= 2;
}
for( i = 0; i < size.width*3; i++ )
{
dst[i] = dst[i + dststep] = dst[i + dststep*2];
dst[i + dststep*(size.height-4)] =
dst[i + dststep*(size.height-3)] =
dst[i + dststep*(size.height-2)] =
dst[i + dststep*(size.height-1)] = dst[i + dststep*(size.height-5)];
}
}
//////////////////////////////// Edge-Aware Demosaicing //////////////////////////////////
template <typename T, typename SIMDInterpolator>
class Bayer2RGB_EdgeAware_T_Invoker :
public cv::ParallelLoopBody
{
public:
Bayer2RGB_EdgeAware_T_Invoker(const Mat& _src, Mat& _dst, const Size& _size,
int _blue, int _start_with_green) :
ParallelLoopBody(),
src(_src), dst(_dst), size(_size), Blue(_blue), Start_with_green(_start_with_green)
{
}
virtual void operator()(const Range& range) const CV_OVERRIDE
{
int dcn = dst.channels();
int dcn2 = dcn<<1;
int start_with_green = Start_with_green, blue = Blue;
int sstep = int(src.step / src.elemSize1()), dstep = int(dst.step / dst.elemSize1());
SIMDInterpolator vecOp;
const T* S = src.ptr<T>(range.start + 1) + 1;
T* D = reinterpret_cast<T*>(dst.data + (range.start + 1) * dst.step) + dcn;
if (range.start % 2)
{
start_with_green ^= 1;
blue ^= 1;
}
// to BGR
for (int y = range.start; y < range.end; ++y)
{
int x = 1;
if (start_with_green)
{
D[blue<<1] = (S[-sstep] + S[sstep]) >> 1;
D[1] = S[0];
D[2-(blue<<1)] = (S[-1] + S[1]) >> 1;
D += dcn;
++S;
++x;
}
int delta = vecOp.bayer2RGB_EA(S - sstep - 1, sstep, D, size.width, blue);
x += delta;
S += delta;
D += dcn * delta;
if (blue)
for (; x < size.width; x += 2, S += 2, D += dcn2)
{
D[0] = S[0];
D[1] = (std::abs(S[-1] - S[1]) > std::abs(S[sstep] - S[-sstep]) ? (S[sstep] + S[-sstep] + 1) : (S[-1] + S[1] + 1)) >> 1;
D[2] = (S[-sstep-1] + S[-sstep+1] + S[sstep-1] + S[sstep+1]) >> 2;
D[3] = (S[0] + S[2] + 1) >> 1;
D[4] = S[1];
D[5] = (S[-sstep+1] + S[sstep+1] + 1) >> 1;
}
else
for (; x < size.width; x += 2, S += 2, D += dcn2)
{
D[0] = (S[-sstep-1] + S[-sstep+1] + S[sstep-1] + S[sstep+1] + 2) >> 2;
D[1] = (std::abs(S[-1] - S[1]) > std::abs(S[sstep] - S[-sstep]) ? (S[sstep] + S[-sstep] + 1) : (S[-1] + S[1] + 1)) >> 1;
D[2] = S[0];
D[3] = (S[-sstep+1] + S[sstep+1] + 1) >> 1;
D[4] = S[1];
D[5] = (S[0] + S[2] + 1) >> 1;
}
if (x <= size.width)
{
D[blue<<1] = (S[-sstep-1] + S[-sstep+1] + S[sstep-1] + S[sstep+1] + 2) >> 2;
D[1] = (std::abs(S[-1] - S[1]) > std::abs(S[sstep] - S[-sstep]) ? (S[sstep] + S[-sstep] + 1) : (S[-1] + S[1] + 1)) >> 1;
D[2-(blue<<1)] = S[0];
D += dcn;
++S;
}
for (int i = 0; i < dcn; ++i)
{
D[i] = D[-dcn + i];
D[-dstep+dcn+i] = D[-dstep+(dcn<<1)+i];
}
start_with_green ^= 1;
blue ^= 1;
S += 2;
D += dcn2;
}
}
private:
Mat src;
Mat dst;
Size size;
int Blue, Start_with_green;
};
template <typename T, typename SIMDInterpolator>
static void Bayer2RGB_EdgeAware_T(const Mat& src, Mat& dst, int code)
{
Size size = src.size();
// for small sizes
if (size.width <= 2 || size.height <= 2)
{
dst = Scalar::all(0);
return;
}
size.width -= 2;
size.height -= 2;
int start_with_green = code == COLOR_BayerGB2BGR_EA || code == COLOR_BayerGR2BGR_EA ? 1 : 0;
int blue = code == COLOR_BayerGB2BGR_EA || code == COLOR_BayerBG2BGR_EA ? 1 : 0;
if (size.height > 0)
{
Bayer2RGB_EdgeAware_T_Invoker<T, SIMDInterpolator> invoker(src, dst, size, blue, start_with_green);
Range range(0, size.height);
parallel_for_(range, invoker, dst.total()/static_cast<double>(1<<16));
}
size = dst.size();
size.width *= dst.channels();
size_t dstep = dst.step / dst.elemSize1();
T* firstRow = dst.ptr<T>();
T* lastRow = dst.ptr<T>() + (size.height-1) * dstep;
if (size.height > 2)
{
for (int x = 0; x < size.width; ++x)
{
firstRow[x] = (firstRow+dstep)[x];
lastRow[x] = (lastRow-dstep)[x];
}
}
else
for (int x = 0; x < size.width; ++x)
firstRow[x] = lastRow[x] = 0;
}
} // end namespace cv
//////////////////////////////////////////////////////////////////////////////////////////
// The main Demosaicing function //
//////////////////////////////////////////////////////////////////////////////////////////
void cv::demosaicing(InputArray _src, OutputArray _dst, int code, int dcn)
{
CV_INSTRUMENT_REGION();
Mat src = _src.getMat(), dst;
Size sz = src.size();
int scn = src.channels(), depth = src.depth();
CV_Assert(depth == CV_8U || depth == CV_16U);
CV_Assert(!src.empty());
switch (code)
{
case COLOR_BayerBG2GRAY: case COLOR_BayerGB2GRAY: case COLOR_BayerRG2GRAY: case COLOR_BayerGR2GRAY:
if (dcn <= 0)
dcn = 1;
CV_Assert( scn == 1 && dcn == 1 );
_dst.create(sz, CV_MAKETYPE(depth, dcn));
dst = _dst.getMat();
if( depth == CV_8U )
Bayer2Gray_<uchar, SIMDBayerInterpolator_8u>(src, dst, code);
else if( depth == CV_16U )
Bayer2Gray_<ushort, SIMDBayerStubInterpolator_<ushort> >(src, dst, code);
else
CV_Error(CV_StsUnsupportedFormat, "Bayer->Gray demosaicing only supports 8u and 16u types");
break;
case COLOR_BayerBG2BGRA: case COLOR_BayerGB2BGRA: case COLOR_BayerRG2BGRA: case COLOR_BayerGR2BGRA:
if (dcn <= 0)
dcn = 4;
/* fallthrough */
case COLOR_BayerBG2BGR: case COLOR_BayerGB2BGR: case COLOR_BayerRG2BGR: case COLOR_BayerGR2BGR:
case COLOR_BayerBG2BGR_VNG: case COLOR_BayerGB2BGR_VNG: case COLOR_BayerRG2BGR_VNG: case COLOR_BayerGR2BGR_VNG:
{
if (dcn <= 0)
dcn = 3;
CV_Assert( scn == 1 && (dcn == 3 || dcn == 4) );
_dst.create(sz, CV_MAKE_TYPE(depth, dcn));
Mat dst_ = _dst.getMat();
if( code == COLOR_BayerBG2BGR || code == COLOR_BayerBG2BGRA ||
code == COLOR_BayerGB2BGR || code == COLOR_BayerGB2BGRA ||
code == COLOR_BayerRG2BGR || code == COLOR_BayerRG2BGRA ||
code == COLOR_BayerGR2BGR || code == COLOR_BayerGR2BGRA )
{
if( depth == CV_8U )
Bayer2RGB_<uchar, SIMDBayerInterpolator_8u>(src, dst_, code);
else if( depth == CV_16U )
Bayer2RGB_<ushort, SIMDBayerStubInterpolator_<ushort> >(src, dst_, code);
else
CV_Error(CV_StsUnsupportedFormat, "Bayer->RGB demosaicing only supports 8u and 16u types");
}
else
{
CV_Assert( depth == CV_8U );
Bayer2RGB_VNG_8u(src, dst_, code);
}
}
break;
case COLOR_BayerBG2BGR_EA: case COLOR_BayerGB2BGR_EA: case COLOR_BayerRG2BGR_EA: case COLOR_BayerGR2BGR_EA:
if (dcn <= 0)
dcn = 3;
CV_Assert(scn == 1 && dcn == 3);
_dst.create(sz, CV_MAKETYPE(depth, dcn));
dst = _dst.getMat();
if (depth == CV_8U)
Bayer2RGB_EdgeAware_T<uchar, SIMDBayerInterpolator_8u>(src, dst, code);
else if (depth == CV_16U)
Bayer2RGB_EdgeAware_T<ushort, SIMDBayerStubInterpolator_<ushort> >(src, dst, code);
else
CV_Error(CV_StsUnsupportedFormat, "Bayer->RGB Edge-Aware demosaicing only currently supports 8u and 16u types");
break;
default:
CV_Error( CV_StsBadFlag, "Unknown / unsupported color conversion code" );
}
}
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