#include "traster.h"

#include "trop.h"

#include "tpixelgr.h"

#ifdef _WIN32

#include <emmintrin.h></emmintrin.h>

#include <malloc.h></malloc.h>

#endif

namespace {

#ifdef _WIN32

template <class t=""></class>

struct BlurPixel {

  T b;

  T g;

  T r;

  T m;

};

#else

template <class t=""></class>

struct BlurPixel {

  T r;

  T g;

  T b;

  T m;

};

#endif

//===================================================================

#define LOAD_COL_CODE                                                          \

                                                                               \

  buffer += x;                                                                 \

  pix = col + by1;                                                             \

                                                                               \

  for (i = by1; i < ly + by1; i++) {                                           \

    *pix++ = *buffer;                                                          \

    buffer += lx;                                                              \

  }                                                                            \

                                                                               \

  pix += by2;                                                                  \

  left_val  = col[0];                                                          \

  right_val = *(pix - 1);                                                      \

  col--;                                                                       \

                                                                               \

  for (i = 0; i < brad; i++) {                                                 \

    *col-- = left_val;                                                         \

    *pix++ = right_val;                                                        \

  }

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

#define BLUR_CODE(round_fac, channel_type)                                     \

  pix1 = row1;                                                                 \

  pix2 = row1 - 1;                                                             \

                                                                               \

  sigma1.r = pix1->r;                                                          \

  sigma1.g = pix1->g;                                                          \

  sigma1.b = pix1->b;                                                          \

  sigma1.m = pix1->m;                                                          \

  pix1++;                                                                      \

                                                                               \

  sigma2.r = sigma2.g = sigma2.b = sigma2.m = 0.0;                             \

  sigma3.r = sigma3.g = sigma3.b = sigma3.m = 0.0;                             \

                                                                               \

  for (i = 1; i < brad; i++) {                                                 \

    sigma1.r += pix1->r;                                                       \

    sigma1.g += pix1->g;                                                       \

    sigma1.b += pix1->b;                                                       \

    sigma1.m += pix1->m;                                                       \

                                                                               \

    sigma2.r += pix2->r;                                                       \

    sigma2.g += pix2->g;                                                       \

    sigma2.b += pix2->b;                                                       \

    sigma2.m += pix2->m;                                                       \

                                                                               \

    sigma3.r += i * (pix1->r + pix2->r);                                       \

    sigma3.g += i * (pix1->g + pix2->g);                                       \

    sigma3.b += i * (pix1->b + pix2->b);                                       \

    sigma3.m += i * (pix1->m + pix2->m);                                       \

                                                                               \

    pix1++;                                                                    \

    pix2--;                                                                    \

  }                                                                            \

                                                                               \

  rsum = (sigma1.r + sigma2.r) * coeff - sigma3.r * coeffq + (round_fac);      \

  gsum = (sigma1.g + sigma2.g) * coeff - sigma3.g * coeffq + (round_fac);      \

  bsum = (sigma1.b + sigma2.b) * coeff - sigma3.b * coeffq + (round_fac);      \

  msum = (sigma1.m + sigma2.m) * coeff - sigma3.m * coeffq + (round_fac);      \

                                                                               \

  row2->r = (channel_type)(rsum);                                              \

  row2->g = (channel_type)(gsum);                                              \

  row2->b = (channel_type)(bsum);                                              \

  row2->m = (channel_type)(msum);                                              \

  row2++;                                                                      \

                                                                               \

  sigma2.r += row1[-brad].r;                                                   \

  sigma2.g += row1[-brad].g;                                                   \

  sigma2.b += row1[-brad].b;                                                   \

  sigma2.m += row1[-brad].m;                                                   \

                                                                               \

  pix1 = row1 + brad;                                                          \

  pix2 = row1;                                                                 \

  pix3 = row1 - brad;                                                          \

  pix4 = row1 - brad + 1;                                                      \

                                                                               \

  desigma.r = sigma1.r - sigma2.r;                                             \

  desigma.g = sigma1.g - sigma2.g;                                             \

  desigma.b = sigma1.b - sigma2.b;                                             \

  desigma.m = sigma1.m - sigma2.m;                                             \

                                                                               \

  for (i = 1; i < length; i++) {                                               \

    desigma.r += pix1->r - 2 * pix2->r + pix3->r;                              \

    desigma.g += pix1->g - 2 * pix2->g + pix3->g;                              \

    desigma.b += pix1->b - 2 * pix2->b + pix3->b;                              \

    desigma.m += pix1->m - 2 * pix2->m + pix3->m;                              \

                                                                               \

    rsum += (desigma.r + diff * (pix1->r - pix4->r)) * coeffq;                 \

    gsum += (desigma.g + diff * (pix1->g - pix4->g)) * coeffq;                 \

    bsum += (desigma.b + diff * (pix1->b - pix4->b)) * coeffq;                 \

    msum += (desigma.m + diff * (pix1->m - pix4->m)) * coeffq;                 \

                                                                               \

    row2->r = (channel_type)(rsum);                                            \

    row2->g = (channel_type)(gsum);                                            \

    row2->b = (channel_type)(bsum);                                            \

    row2->m = (channel_type)(msum);                                            \

    row2++;                                                                    \

    pix1++, pix2++, pix3++, pix4++;                                            \

  }

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

template <typename pixel_dst,="" pixel_src,="" t="" typename=""></typename>

inline void blur_code(PIXEL_SRC *row1, PIXEL_DST *row2, int length, float coeff,

                      float coeffq, int brad, float diff, float round_fac) {

  int i;

  T rsum, gsum, bsum, msum;

  BlurPixel<t> sigma1, sigma2, sigma3, desigma;</t>

  PIXEL_SRC *pix1, *pix2, *pix3, *pix4;

  pix1 = row1;

  pix2 = row1 - 1;

  sigma1.r = pix1->r;

  sigma1.g = pix1->g;

  sigma1.b = pix1->b;

  sigma1.m = pix1->m;

  pix1++;

  sigma2.r = sigma2.g = sigma2.b = sigma2.m = 0.0;

  sigma3.r = sigma3.g = sigma3.b = sigma3.m = 0.0;

  for (i = 1; i < brad; i++) {

    sigma1.r += pix1->r;

    sigma1.g += pix1->g;

    sigma1.b += pix1->b;

    sigma1.m += pix1->m;

    sigma2.r += pix2->r;

    sigma2.g += pix2->g;

    sigma2.b += pix2->b;

    sigma2.m += pix2->m;

    sigma3.r += i * (pix1->r + pix2->r);

    sigma3.g += i * (pix1->g + pix2->g);

    sigma3.b += i * (pix1->b + pix2->b);

    sigma3.m += i * (pix1->m + pix2->m);

    pix1++;

    pix2--;

  }

  rsum = (sigma1.r + sigma2.r) * coeff - sigma3.r * coeffq + (round_fac);

  gsum = (sigma1.g + sigma2.g) * coeff - sigma3.g * coeffq + (round_fac);

  bsum = (sigma1.b + sigma2.b) * coeff - sigma3.b * coeffq + (round_fac);

  msum = (sigma1.m + sigma2.m) * coeff - sigma3.m * coeffq + (round_fac);

  row2->r = rsum;

  row2->g = gsum;

  row2->b = bsum;

  row2->m = msum;

  row2++;

  sigma2.r += row1[-brad].r;

  sigma2.g += row1[-brad].g;

  sigma2.b += row1[-brad].b;

  sigma2.m += row1[-brad].m;

  pix1 = row1 + brad;

  pix2 = row1;

  pix3 = row1 - brad;

  pix4 = row1 - brad + 1;

  desigma.r = sigma1.r - sigma2.r;

  desigma.g = sigma1.g - sigma2.g;

  desigma.b = sigma1.b - sigma2.b;

  desigma.m = sigma1.m - sigma2.m;

  for (i = 1; i < length; i++) {

    desigma.r += pix1->r - 2 * pix2->r + pix3->r;

    desigma.g += pix1->g - 2 * pix2->g + pix3->g;

    desigma.b += pix1->b - 2 * pix2->b + pix3->b;

    desigma.m += pix1->m - 2 * pix2->m + pix3->m;

    rsum += (desigma.r + diff * (pix1->r - pix4->r)) * coeffq;

    gsum += (desigma.g + diff * (pix1->g - pix4->g)) * coeffq;

    bsum += (desigma.b + diff * (pix1->b - pix4->b)) * coeffq;

    msum += (desigma.m + diff * (pix1->m - pix4->m)) * coeffq;

    row2->r = rsum;

    row2->g = gsum;

    row2->b = bsum;

    row2->m = msum;

    row2++;

    pix1++, pix2++, pix3++, pix4++;

  }

}

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

#ifdef _WIN32

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

template <class class="" p="" t,=""></class>

inline void blur_code_SSE2(T *row1, BlurPixel
 *row2, int length, float coeff,

                           float coeffq, int brad, float diff,

                           float round_fac) {

  static float two     = 2;

  static __m128i zeros = _mm_setzero_si128();

  static __m128 twos   = _mm_load_ps1(&two);

  int i;

  __m128 sigma1, sigma2, sigma3, desigma;

  T *pix1, *pix2, *pix3, *pix4;

  pix1 = row1;

  pix2 = row1 - 1;

  //

  __m128i piPix1 = _mm_cvtsi32_si128(*(DWORD *)pix1);

  __m128i piPix2 = _mm_cvtsi32_si128(*(DWORD *)pix2);

  piPix1 = _mm_unpacklo_epi8(piPix1, zeros);

  piPix2 = _mm_unpacklo_epi8(piPix2, zeros);

  piPix1 = _mm_unpacklo_epi16(piPix1, zeros);

  piPix2 = _mm_unpacklo_epi16(piPix2, zeros);

  sigma1 = _mm_cvtepi32_ps(piPix1);

  //

  pix1++;

  float zero = 0;

  sigma2     = _mm_load1_ps(&zero);

  sigma3     = _mm_load1_ps(&zero);

  for (i = 1; i < brad; i++) {

    piPix1 = _mm_unpacklo_epi8(_mm_cvtsi32_si128(*(DWORD *)pix1), zeros);

    piPix2 = _mm_unpacklo_epi8(_mm_cvtsi32_si128(*(DWORD *)pix2), zeros);

    __m128 pPix1 = _mm_cvtepi32_ps(_mm_unpacklo_epi16(piPix1, zeros));

    __m128 pPix2 = _mm_cvtepi32_ps(_mm_unpacklo_epi16(piPix2, zeros));

    sigma1 = _mm_add_ps(sigma1, pPix1);

    sigma2 = _mm_add_ps(sigma2, pPix2);

    __m128i pii = _mm_unpacklo_epi8(_mm_cvtsi32_si128(i), zeros);

    __m128 pi   = _mm_cvtepi32_ps(_mm_unpacklo_epi16(pii, zeros));

    pPix1  = _mm_add_ps(pPix1, pPix2);

    pPix1  = _mm_mul_ps(pi, pPix1);      // i*(pix1 + pix2)

    sigma3 = _mm_add_ps(sigma3, pPix1);  // sigma3 += i*(pix1 + pix2)

    pix1++;

    pix2--;

  }

  __m128 pCoeff    = _mm_load1_ps(&coeff);

  __m128 pCoeffq   = _mm_load1_ps(&coeffq);

  __m128 pRoundFac = _mm_load1_ps(&round_fac);

  __m128 pDiff     = _mm_load1_ps(&diff);

  // sum = (sigma1 + sigma2)*coeff - sigma3*coeffq + round_fac

  __m128 sum  = _mm_add_ps(sigma1, sigma2);

  sum         = _mm_mul_ps(sum, pCoeff);

  __m128 sum2 = _mm_mul_ps(sigma3, pCoeffq);

  sum2        = _mm_add_ps(sum2, pRoundFac);

  sum         = _mm_sub_ps(sum, sum2);

  /*

  __m128i isum = _mm_cvtps_epi32(sum);

isum = _mm_packs_epi32(isum, zeros);

isum = _mm_packs_epi16(isum, zeros);

*(DWORD*)row2 = _mm_cvtsi128_si32(isum);

*/

  _mm_store_ps((float *)row2, sum);

  row2++;

  __m128i piPixMin =

      _mm_unpacklo_epi8(_mm_cvtsi32_si128(*(DWORD *)(row1 - brad)), zeros);

  __m128 pPixMin = _mm_cvtepi32_ps(_mm_unpacklo_epi16(piPixMin, zeros));

  sigma2         = _mm_add_ps(sigma2, pPixMin);

  /*

sigma2.r += row1[-brad].r;

sigma2.g += row1[-brad].g;

sigma2.b += row1[-brad].b;

sigma2.m += row1[-brad].m;

*/

  pix1 = row1 + brad;

  pix2 = row1;

  pix3 = row1 - brad;

  pix4 = row1 - brad + 1;

  desigma = _mm_sub_ps(sigma1, sigma2);

  for (i = 1; i < length; i++) {

    piPix1 = _mm_unpacklo_epi8(_mm_cvtsi32_si128(*(DWORD *)pix1), zeros);

    piPix2 = _mm_unpacklo_epi8(_mm_cvtsi32_si128(*(DWORD *)pix2), zeros);

    __m128i piPix3 =

        _mm_unpacklo_epi8(_mm_cvtsi32_si128(*(DWORD *)pix3), zeros);

    __m128i piPix4 =

        _mm_unpacklo_epi8(_mm_cvtsi32_si128(*(DWORD *)pix4), zeros);

    __m128 pPix1 = _mm_cvtepi32_ps(_mm_unpacklo_epi16(piPix1, zeros));

    __m128 pPix2 =

        _mm_cvtepi32_ps(_mm_slli_epi32(_mm_unpacklo_epi16(piPix2, zeros), 1));

    __m128 pPix3 = _mm_cvtepi32_ps(_mm_unpacklo_epi16(piPix3, zeros));

    __m128 pPix4 = _mm_cvtepi32_ps(_mm_unpacklo_epi16(piPix4, zeros));

    // desigma += pix1 - 2*pix2 + pix3

    __m128 tmp = _mm_sub_ps(pPix3, pPix2);

    tmp        = _mm_add_ps(tmp, pPix1);

    desigma    = _mm_add_ps(desigma, tmp);

    // sum += (desigma + diff*(pix1 - pix4))*coeffq

    tmp = _mm_sub_ps(pPix1, pPix4);

    tmp = _mm_mul_ps(tmp, pDiff);

    tmp = _mm_add_ps(desigma, tmp);

    tmp = _mm_mul_ps(tmp, pCoeffq);

    sum = _mm_add_ps(sum, tmp);

    /*

isum = _mm_cvtps_epi32(sum);

isum = _mm_packs_epi32(isum, zeros);

isum = _mm_packs_epi16(isum, zeros);

*(DWORD*)row2 = _mm_cvtsi128_si32(isum);

*/

    _mm_store_ps((float *)row2, sum);

    row2++;

    pix1++, pix2++, pix3++, pix4++;

  }

}

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

template <class class="" p="" t,=""></class>

inline void blur_code_SSE2(BlurPixel
 *row1, T *row2, int length, float coeff,

                           float coeffq, int brad, float diff,

                           float round_fac) {

  int i;

  float two     = 2;

  __m128i zeros = _mm_setzero_si128();

  __m128 twos   = _mm_load_ps1(&two);

  __m128 sigma1, sigma2, sigma3, desigma;

  BlurPixel
 *pix1, *pix2, *pix3, *pix4;

  pix1 = row1;

  pix2 = row1 - 1;

  __m128 pPix1 = _mm_load_ps((float *)pix1);

  __m128 pPix2 = _mm_load_ps((float *)pix2);

  // sigma1 = *pix1

  sigma1 = pPix1;

  pix1++;

  float zero = 0;

  sigma2     = _mm_load1_ps(&zero);

  sigma3     = _mm_load1_ps(&zero);

  for (i = 1; i < brad; i++) {

    pPix1 = _mm_load_ps((float *)pix1);

    pPix2 = _mm_load_ps((float *)pix2);

    sigma1 = _mm_add_ps(sigma1, pPix1);

    sigma2 = _mm_add_ps(sigma2, pPix2);

    __m128i pii = _mm_unpacklo_epi8(_mm_cvtsi32_si128(i), zeros);

    __m128 pi   = _mm_cvtepi32_ps(_mm_unpacklo_epi16(pii, zeros));

    pPix1  = _mm_add_ps(pPix1, pPix2);

    pPix1  = _mm_mul_ps(pi, pPix1);      // i*(pix1 + pix2)

    sigma3 = _mm_add_ps(sigma3, pPix1);  // sigma3 += i*(pix1 + pix2)

    pix1++;

    pix2--;

  }

  __m128 pCoeff  = _mm_load1_ps(&coeff);

  __m128 pCoeffq = _mm_load1_ps(&coeffq);

  //  __m128 pRoundFac = _mm_load1_ps(&round_fac);

  __m128 pDiff = _mm_load1_ps(&diff);

  // sum = (sigma1 + sigma2)*coeff - sigma3*coeffq + round_fac

  __m128 sum  = _mm_add_ps(sigma1, sigma2);

  sum         = _mm_mul_ps(sum, pCoeff);

  __m128 sum2 = _mm_mul_ps(sigma3, pCoeffq);

  // sum2 = _mm_add_ps(sum2, pRoundFac);

  sum = _mm_sub_ps(sum, sum2);

  // converte i canali da float a char

  __m128i isum = _mm_cvtps_epi32(sum);

  isum         = _mm_packs_epi32(isum, zeros);

  // isum = _mm_packs_epi16(isum, zeros);

  isum           = _mm_packus_epi16(isum, zeros);

  *(DWORD *)row2 = _mm_cvtsi128_si32(isum);

  row2++;

  // sigma2 += row1[-brad]

  __m128 pPixMin = _mm_load_ps((float *)(row1 - brad));

  sigma2         = _mm_add_ps(sigma2, pPixMin);

  pix1 = row1 + brad;

  pix2 = row1;

  pix3 = row1 - brad;

  pix4 = row1 - brad + 1;

  desigma = _mm_sub_ps(sigma1, sigma2);

  for (i = 1; i < length; i++) {

    __m128 pPix1 = _mm_load_ps((float *)pix1);

    __m128 pPix2 = _mm_load_ps((float *)pix2);

    __m128 pPix3 = _mm_load_ps((float *)pix3);

    __m128 pPix4 = _mm_load_ps((float *)pix4);

    pPix2 = _mm_mul_ps(pPix2, twos);

    // desigma += pix1 - 2*pix2 + pix3

    __m128 tmp = _mm_sub_ps(pPix3, pPix2);

    tmp        = _mm_add_ps(tmp, pPix1);

    desigma    = _mm_add_ps(desigma, tmp);

    // sum += (desigma + diff*(pix1 - pix4))*coeffq

    tmp = _mm_sub_ps(pPix1, pPix4);

    tmp = _mm_mul_ps(tmp, pDiff);

    tmp = _mm_add_ps(desigma, tmp);

    tmp = _mm_mul_ps(tmp, pCoeffq);

    sum = _mm_add_ps(sum, tmp);

    // converte i canali da float a char

    __m128i isum = _mm_cvtps_epi32(sum);

    isum         = _mm_packs_epi32(isum, zeros);

    // isum = _mm_packs_epi16(isum, zeros);  // QUESTA RIGA E' SBAGLIATA

    // assert(false);

    isum           = _mm_packus_epi16(isum, zeros);

    *(DWORD *)row2 = _mm_cvtsi128_si32(isum);

    row2++;

    pix1++, pix2++, pix3++, pix4++;

  }

}

#endif  // _WIN32

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

#define STORE_COL_CODE(crop_val)                                               \

  {                                                                            \

    int i, val;                                                                \

    double ampl;                                                               \

    buffer += x;                                                               \

                                                                               \

    ampl = 1.0 + blur / 15.0;                                                  \

                                                                               \

    if (backlit)                                                               \

      for (i = ((dy >= 0) ? 0 : -dy); i < std::min(ly, r_ly - dy); i++) {      \

        val       = troundp(col[i].r * ampl);                                  \

        buffer->r = (val > crop_val) ? crop_val : val;                         \

        val       = troundp(col[i].g * ampl);                                  \

        buffer->g = (val > crop_val) ? crop_val : val;                         \

        val       = troundp(col[i].b * ampl);                                  \

        buffer->b = (val > crop_val) ? crop_val : val;                         \

        val       = troundp(col[i].m * ampl);                                  \

        buffer->m = (val > crop_val) ? crop_val : val;                         \

        buffer += wrap;                                                        \

      }                                                                        \

    else                                                                       \

      for (i = ((dy >= 0) ? 0 : -dy); i < std::min(ly, r_ly - dy); i++) {      \

        *buffer = col[i];                                                      \

        buffer += wrap;                                                        \

      }                                                                        \

  }

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

template <class t=""></class>

void store_colRgb(T *buffer, int wrap, int r_ly, T *col, int ly, int x, int dy,

                  int backlit, double blur) {

  int val = T::maxChannelValue;

  if (val == 255)

    STORE_COL_CODE(204)

  else if (val == 65535)

    STORE_COL_CODE(204 * 257)

  else

    assert(false);

}

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

template <class t=""></class>

void store_colGray(T *buffer, int wrap, int r_ly, T *col, int ly, int x, int dy,

                   int backlit, double blur) {

  int i;

  double ampl;

  buffer += x;

  ampl = 1.0 + blur / 15.0;

  for (i = ((dy >= 0) ? 0 : -dy); i < std::min(ly, r_ly - dy); i++) {

    *buffer = col[i];

    buffer += wrap;

  }

}

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

template <class p=""></class>

void load_colRgb(BlurPixel
 *buffer, BlurPixel
 *col, int lx, int ly, int x,

                 int brad, int by1, int by2) {

  int i;

  BlurPixel
 *pix, left_val, right_val;

  LOAD_COL_CODE

}

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

void load_channel_col32(float *buffer, float *col, int lx, int ly, int x,

                        int brad, int by1, int by2) {

  int i;

  float *pix, left_val, right_val;

  LOAD_COL_CODE

}

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

template <class class="" p="" q,="" t,=""></class>

void do_filtering_chan(BlurPixel
 *row1, T *row2, int length, float coeff,

                       float coeffq, int brad, float diff, bool useSSE) {

#ifdef _WIN32

  if (useSSE && T::maxChannelValue == 255)

    blur_code_SSE2<t, p="">(row1, row2, length, coeff, coeffq, brad, diff, 0.5);</t,>

  else

#endif

  {

    int i;

    P rsum, gsum, bsum, msum;

    BlurPixel
 sigma1, sigma2, sigma3, desigma;

    BlurPixel
 *pix1, *pix2, *pix3, *pix4;

    BLUR_CODE((P)0.5, Q)

  }

}

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

template <class t=""></class>

void do_filtering_channel_float(T *row1, float *row2, int length, float coeff,

                                float coeffq, int brad, float diff) {

  int i;

  float sum;

  float sigma1, sigma2, sigma3, desigma;

  T *pix1, *pix2, *pix3, *pix4;

  pix1 = row1;

  pix2 = row1 - 1;

  sigma1 = pix1->value;

  pix1++;

  sigma2 = 0.0;

  sigma3 = 0.0;

  for (i = 1; i < brad; i++) {

    sigma1 += pix1->value;

    sigma2 += pix2->value;

    sigma3 += i * (pix1->value + pix2->value);

    pix1++;

    pix2--;

  }

  sum = (sigma1 + sigma2) * coeff - sigma3 * coeffq;

  *row2 = sum;

  row2++;

  sigma2 += row1[-brad].value;

  pix1 = row1 + brad;

  pix2 = row1;

  pix3 = row1 - brad;

  pix4 = row1 - brad + 1;

  desigma = sigma1 - sigma2;

  for (i = 1; i < length; i++) {

    desigma += pix1->value - 2 * pix2->value + pix3->value;

    sum += (desigma + diff * (pix1->value - pix4->value)) * coeffq;

    *row2 = sum;

    row2++;

    pix1++, pix2++, pix3++, pix4++;

  }

}

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

template <class t=""></class>

void do_filtering_channel_gray(float *row1, T *row2, int length, float coeff,

                               float coeffq, int brad, float diff) {

  int i;

  float sum;

  float sigma1, sigma2, sigma3, desigma;

  float *pix1, *pix2, *pix3, *pix4;

  pix1 = row1;

  pix2 = row1 - 1;

  sigma1 = *pix1;

  pix1++;

  sigma2 = 0.0;

  sigma3 = 0.0;

  for (i = 1; i < brad; i++) {

    sigma1 += *pix1;

    sigma2 += *pix2;

    sigma3 += i * (*pix1 + *pix2);

    pix1++;

    pix2--;

  }

  sum = (sigma1 + sigma2) * coeff - sigma3 * coeffq + 0.5F;

  row2->setValue((int)sum);

  row2++;

  sigma2 += row1[-brad];

  pix1 = row1 + brad;

  pix2 = row1;

  pix3 = row1 - brad;

  pix4 = row1 - brad + 1;

  desigma = sigma1 - sigma2;

  for (i = 1; i < length; i++) {

    desigma += *pix1 - 2 * (*pix2) + (*pix3);

    sum += (desigma + diff * (*pix1 - *pix4)) * coeffq;

    row2->setValue((int)sum);

    row2++;

    pix1++, pix2++, pix3++, pix4++;

  }

}

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

template <class t=""></class>

void load_rowRgb(TRasterPT<t> &rin, T *row, int lx, int y, int brad, int bx1,</t>

                 int bx2) {

  int i;

  T *buf32, *pix;

  T left_val, right_val;

  pix = row + bx1;

  {

    rin->lock();

    buf32 = rin->pixels(y);

    for (i = 0; i < lx; i++) *pix++ = *buf32++;

    rin->unlock();

  }

  pix += bx2;

  left_val  = *row;

  right_val = *(pix - 1);

  row--;

  for (i = 0; i < brad;

       i++) /* pixels equal to the ones of border of image are added   */

  {         /* to avoid a black blur to get into the picture.          */

    *row-- = left_val;

    *pix++ = right_val;

  }

}

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

template <class t=""></class>

void load_rowGray(TRasterPT<t> &rin, T *row, int lx, int y, int brad, int bx1,</t>

                  int bx2) {

  int i;

  T *buf8, *pix;

  T left_val, right_val;

  pix  = row + bx1;

  buf8 = (T *)(rin->pixels(y));

  for (i = 0; i < lx; i++) *pix++ = *buf8++;

  pix += bx2;

  left_val  = *row;

  right_val = *(pix - 1);

  row--;

  for (i = 0; i < brad;

       i++) /* pixels equal to the ones of border of image are added   */

  {         /* to avoid a black blur to get into the picture.          */

    *row-- = left_val;

    *pix++ = right_val;

  }

}

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

template <class class="" p="" t,=""></class>

void do_filtering_floatRgb(T *row1, BlurPixel
 *row2, int length, float coeff,

                           float coeffq, int brad, float diff, bool useSSE) {

/*

  int i;

  float rsum, gsum, bsum,  msum;

  CASM_FPIXEL sigma1, sigma2, sigma3, desigma;

  TPixel32 *pix1, *pix2, *pix3, *pix4;

  BLUR_CODE(0, unsigned char)

*/

#ifdef _WIN32

  if (useSSE)

    blur_code_SSE2<t, p="">(row1, row2, length, coeff, coeffq, brad, diff, 0);</t,>

  else

#endif

    blur_code<t, blurpixel<p="">, P>(row1, row2, length, coeff, coeffq, brad, diff,</t,>

                                  0);

}

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

template <class class="" p="" q,="" t,=""></class>

void doBlurRgb(TRasterPT<t> &dstRas, TRasterPT<t> &srcRas, double blur, int dx,</t></t>

               int dy, bool useSSE) {

  int i, lx, ly, llx, lly, brad;

  float coeff, coeffq, diff;

  int bx1 = 0, by1 = 0, bx2 = 0, by2 = 0;

  brad = (int)ceil(blur); /* number of pixels involved in the filtering */

  // int border = brad*2; // per sicurezza

  coeff = (float)(blur /

                  (brad - brad * brad +

                   blur * (2 * brad -

                           1))); /*sum of the weights of triangolar filter. */

  coeffq = (float)(coeff / blur);

  diff   = (float)(blur - brad);

  lx     = srcRas->getLx();

  ly     = srcRas->getLy();

  if ((lx == 0) || (ly == 0)) return;

  llx = lx + bx1 + bx2;

  lly = ly + by1 + by2;

  T *row1, *col2, *buffer;

  BlurPixel
 *row2, *col1, *fbuffer;

  TRasterGR8P r1;

#ifdef _WIN32

  if (useSSE) {

    fbuffer =

        (BlurPixel
 *)_aligned_malloc(llx * ly * sizeof(BlurPixel
), 16);

    row1 = (T *)_aligned_malloc((llx + 2 * brad) * sizeof(T), 16);

    col1 = (BlurPixel
 *)_aligned_malloc(

        (lly + 2 * brad) * sizeof(BlurPixel
), 16);

    col2 = (T *)_aligned_malloc(lly * sizeof(T), 16);

  } else

#endif

  {

    TRasterGR8P raux(llx * sizeof(BlurPixel
), ly);

    r1 = raux;

    r1->lock();

    fbuffer = (BlurPixel
 *)r1->getRawData();  // new CASM_FPIXEL [llx *ly];

    row1    = new T[llx + 2 * brad];

    col1    = new BlurPixel
[ lly + 2 * brad ];

    col2    = new T[lly];

  }

  if ((!fbuffer) || (!row1) || (!col1) || (!col2)) {

    if (!useSSE) r1->unlock();

#ifdef _WIN32

    if (useSSE) {

      _aligned_free(col2);

      _aligned_free(col1);

      _aligned_free(row1);

      _aligned_free(fbuffer);

    } else

#endif

    {

      delete[] col2;

      delete[] col1;

      delete[] row1;

    }

    return;

  }

  row2 = fbuffer;

  try {

    for (i = 0; i < ly; i++) {

      load_rowRgb<t>(srcRas, row1 + brad, lx, i, brad, bx1, bx2);</t>

      do_filtering_floatRgb<t>(row1 + brad, row2, llx, coeff, coeffq, brad,</t>

                               diff, useSSE);

      row2 += llx;

    }

    dstRas->lock();

    buffer = (T *)dstRas->getRawData();

    if (dy >= 0) buffer += (dstRas->getWrap()) * dy;

    for (i = (dx >= 0) ? 0 : -dx; i < std::min(llx, dstRas->getLx() - dx);

         i++) {

      load_colRgb
(fbuffer, col1 + brad, llx, ly, i, brad, by1, by2);

      do_filtering_chan<t, p="" q,="">(col1 + brad, col2, lly, coeff, coeffq, brad,</t,>

                                 diff, useSSE);

      store_colRgb<t>(buffer, dstRas->getWrap(), dstRas->getLy(), col2, lly,</t>

                      i + dx, dy, 0, blur);

    }

    dstRas->unlock();

  } catch (...) {

    dstRas->clear();

  }

#ifdef _WIN32

  if (useSSE) {

    _aligned_free(col2);

    _aligned_free(col1);

    _aligned_free(row1);

    _aligned_free(fbuffer);

  } else

#endif

  {

    delete[] col2;

    delete[] col1;

    delete[] row1;

    r1->unlock();

  }

}

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

template <class t=""></class>

void doBlurGray(TRasterPT<t> &dstRas, TRasterPT<t> &srcRas, double blur, int dx,</t></t>

                int dy) {

  int i, lx, ly, llx, lly, brad;

  float coeff, coeffq, diff;

  int bx1 = 0, by1 = 0, bx2 = 0, by2 = 0;

  brad  = (int)ceil(blur); /* number of pixels involved in the filtering */