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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 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 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;
  };
  #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
      {
          SIMDInterpolator vecOp;
          const int G2Y = 9617;
          const int SHIFT = 14;
  
          const T* bayer0 = (const T*)srcmat.data;
          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 == CV_BayerGB2GRAY || code == CV_BayerGR2GRAY;
      bool brow = true;
  
      if( code != CV_BayerBG2GRAY && code != CV_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 = (T*)dstmat.data;
      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
      {
          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 = reinterpret_cast<const T*>(srcmat.data) + 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 ? 0 : 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 == CV_BayerBG2BGR || code == CV_BayerGB2BGR ? -1 : 1;
      int start_with_green = code == CV_BayerGB2BGR || code == CV_BayerGR2BGR;
  
      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 = (T*)dstmat.data;
      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.data;
      int bstep = (int)srcmat.step;
      uchar* dst = dstmat.data;
      int dststep = (int)dstmat.step;
      Size size = srcmat.size();
  
      int blueIdx = code == CV_BayerBG2BGR_VNG || code == CV_BayerGB2BGR_VNG ? 0 : 2;
      bool greenCell0 = code != CV_BayerBG2BGR_VNG && code != CV_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 = (ushort*)_buf;
  
      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(x5, 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(x5, 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
      {
          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 = reinterpret_cast<const T*>(src.data + (range.start + 1) * src.step) + 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 == CV_BayerGB2BGR_EA || code == CV_BayerGR2BGR_EA ? 1 : 0;
      int blue = code == CV_BayerGB2BGR_EA || code == CV_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 = reinterpret_cast<T*>(dst.data);
      T* lastRow = reinterpret_cast<T*>(dst.data) + (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)
  {
      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 CV_BayerBG2GRAY: case CV_BayerGB2GRAY: case CV_BayerRG2GRAY: case CV_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 CV_BayerBG2BGR: case CV_BayerGB2BGR: case CV_BayerRG2BGR: case CV_BayerGR2BGR:
      case CV_BayerBG2BGR_VNG: case CV_BayerGB2BGR_VNG: case CV_BayerRG2BGR_VNG: case CV_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 == CV_BayerBG2BGR || code == CV_BayerGB2BGR ||
                  code == CV_BayerRG2BGR || code == CV_BayerGR2BGR )
              {
                  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 CV_BayerBG2BGR_EA: case CV_BayerGB2BGR_EA: case CV_BayerRG2BGR_EA: case CV_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" );
      }
  }
  