locallaplacian.c

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/*
    This file is part of darktable,
    Copyright (C) 2016-2017 johannes hanika.
    Copyright (C) 2016 Maximilian Trescher.
    Copyright (C) 2017, 2019 luzpaz.
    Copyright (C) 2017 Peter Budai.
    Copyright (C) 2017 Ulrich Pegelow.
    Copyright (C) 2019 Andreas Schneider.
    Copyright (C) 2019-2020, 2025-2026 Aurélien PIERRE.
    Copyright (C) 2019 Roman Lebedev.
    Copyright (C) 2020 Hubert Kowalski.
    Copyright (C) 2020-2021 Pascal Obry.
    Copyright (C) 2020-2021 Ralf Brown.
    Copyright (C) 2021 Chris Elston.
    Copyright (C) 2021 Hanno Schwalm.
    Copyright (C) 2022 Martin Bařinka.
    
    darktable is free software: you can redistribute it and/or modify
    it under the terms of the GNU General Public License as published by
    the Free Software Foundation, either version 3 of the License, or
    (at your option) any later version.
    
    darktable is distributed in the hope that it will be useful,
    but WITHOUT ANY WARRANTY; without even the implied warranty of
    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
    GNU General Public License for more details.
    
    You should have received a copy of the GNU General Public License
    along with darktable.  If not, see <http://www.gnu.org/licenses/>.
*/
 
#include "common/darktable.h"
#include "common/locallaplacian.h"
#include "common/math.h"
 
#include <string.h>
#include <stdint.h>
#include <stdlib.h>
#include <assert.h>
#include <stdio.h>
 
// the maximum number of levels for the gaussian pyramid
#define max_levels 30
// the number of segments for the piecewise linear interpolation
#define num_gamma 6
 
//#define DEBUG_DUMP
 
// downsample width/height to given level
static inline int dl(int size, const int level)
{
  for(int l=0;l<level;l++)
    size = (size-1)/2+1;
  return size;
}
 
#ifdef DEBUG_DUMP
static void dump_PFM(const char *filename, const float* out, const uint32_t w, const uint32_t h)
{
  FILE *f = g_fopen(filename, "wb");
  fprintf(f, "PF\n%d %d\n-1.0\n", w, h);
  for(int j=0;j<h;j++)
    for(int i=0;i<w;i++)
      for(int c=0;c<3;c++)
        fwrite(out + w*j+i, 1, sizeof(float), f);
  fclose(f);
}
#define debug_dump_PFM dump_PFM
#else
#define debug_dump_PFM(f,b,w,h)
#endif
 
// needs a boundary of 1 or 2px around i,j or else it will crash.
// (translates to a 1px boundary around the corresponding pixel in the coarse buffer)
// more precisely, 1<=i<wd-1 for even wd and
//                 1<=i<wd-2 for odd wd (j likewise with ht)
static inline float ll_expand_gaussian(
    const float *const coarse,
    const int i,
    const int j,
    const int wd,
    const int ht)
{
  assert(i > 0);
  assert(i < wd-1);
  assert(j > 0);
  assert(j < ht-1);
  assert(j/2 + 1 < (ht-1)/2+1);
  assert(i/2 + 1 < (wd-1)/2+1);
  const int cw = (wd-1)/2+1;
  const int ind = (j/2)*cw+i/2;
  // case 0:     case 1:     case 2:     case 3:
  //  x . x . x   x . x . x   x . x . x   x . x . x
  //  . . . . .   . . . . .   . .[.]. .   .[.]. . .
  //  x .[x]. x   x[.]x . x   x . x . x   x . x . x
  //  . . . . .   . . . . .   . . . . .   . . . . .
  //  x . x . x   x . x . x   x . x . x   x . x . x
  switch((i&1) + 2*(j&1))
  {
    case 0: // both are even, 3x3 stencil
      return 4./256. * (
          6.0f*(coarse[ind-cw] + coarse[ind-1] + 6.0f*coarse[ind] + coarse[ind+1] + coarse[ind+cw])
          + coarse[ind-cw-1] + coarse[ind-cw+1] + coarse[ind+cw-1] + coarse[ind+cw+1]);
    case 1: // i is odd, 2x3 stencil
      return 4./256. * (
          24.0*(coarse[ind] + coarse[ind+1]) +
          4.0*(coarse[ind-cw] + coarse[ind-cw+1] + coarse[ind+cw] + coarse[ind+cw+1]));
    case 2: // j is odd, 3x2 stencil
      return 4./256. * (
          24.0*(coarse[ind] + coarse[ind+cw]) +
          4.0*(coarse[ind-1] + coarse[ind+1] + coarse[ind+cw-1] + coarse[ind+cw+1]));
    default: // case 3: // both are odd, 2x2 stencil
      return .25f * (coarse[ind] + coarse[ind+1] + coarse[ind+cw] + coarse[ind+cw+1]);
  }
}
 
// helper to fill in one pixel boundary by copying it
static inline void ll_fill_boundary1(
    float *const input,
    const int wd,
    const int ht)
{
  for(int j=1;j<ht-1;j++) input[j*wd] = input[j*wd+1];
  for(int j=1;j<ht-1;j++) input[j*wd+wd-1] = input[j*wd+wd-2];
  memcpy(input,    input+wd, sizeof(float)*wd);
  memcpy(input+wd*(ht-1), input+wd*(ht-2), sizeof(float)*wd);
}
 
// helper to fill in two pixels boundary by copying it
static inline void ll_fill_boundary2(
    float *const input,
    const int wd,
    const int ht)
{
  for(int j=1;j<ht-1;j++) input[j*wd] = input[j*wd+1];
  if(wd & 1) for(int j=1;j<ht-1;j++) input[j*wd+wd-1] = input[j*wd+wd-2];
  else       for(int j=1;j<ht-1;j++) input[j*wd+wd-1] = input[j*wd+wd-2] = input[j*wd+wd-3];
  memcpy(input, input+wd, sizeof(float)*wd);
  if(!(ht & 1)) memcpy(input+wd*(ht-2), input+wd*(ht-3), sizeof(float)*wd);
  memcpy(input+wd*(ht-1), input+wd*(ht-2), sizeof(float)*wd);
}
 
static void pad_by_replication(
    float *buf,     // the buffer to be padded
    const uint32_t w,   // width of a line
    const uint32_t h,   // total height, including top and bottom padding
    const uint32_t padding) // number of lines of padding on each side
{
  __OMP_PARALLEL_FOR__()
  for(int j=0;j<padding;j++)
  {
    memcpy(buf + w*j, buf+padding*w, sizeof(float)*w);
    memcpy(buf + w*(h-padding+j), buf+w*(h-padding-1), sizeof(float)*w);
  }
}
 
static inline void gauss_expand(
    const float *const input, // coarse input
    float *const fine,        // upsampled, blurry output
    const int wd,             // fine res
    const int ht)
{
  __OMP_PARALLEL_FOR__(collapse(2))
  for(int j=1;j<((ht-1)&~1);j++)  // even ht: two px boundary. odd ht: one px.
    for(int i=1;i<((wd-1)&~1);i++)
      fine[j*wd+i] = ll_expand_gaussian(input, i, j, wd, ht);
  ll_fill_boundary2(fine, wd, ht);
}
 
static inline void gauss_reduce(
    const float *const input, // fine input buffer
    float *const coarse,      // coarse scale, blurred input buf
    const int wd,             // fine res
    const int ht)
{
  // blur, store only coarse res
  const int cw = (wd-1)/2+1, ch = (ht-1)/2+1;
 
  // this is the scalar (non-simd) code:
  const float w[5] = { 1.f/16.f, 4.f/16.f, 6.f/16.f, 4.f/16.f, 1.f/16.f };
  memset(coarse, 0, sizeof(float)*cw*ch);
  // direct 5x5 stencil only on required pixels:
#ifdef _OPENMP
  // DON'T parallelize the very smallest levels of the pyramid, as the threading overhead
  // is greater than the time needed to do it sequentially
#pragma omp parallel for default(firstprivate) if (ch*cw>500)  \
  collapse(2)
#endif
  for(int j=1;j<ch-1;j++)
    for(int i=1;i<cw-1;i++)
    {
      for(int jj=-2;jj<=2;jj++)
        for(int ii=-2;ii<=2;ii++)
          coarse[j*cw+i] += input[(2*j+jj)*wd+2*i+ii] * w[ii+2] * w[jj+2];
    }
  ll_fill_boundary1(coarse, cw, ch);
}
 
// allocate output buffer with monochrome brightness channel from input, padded
// up by max_supp on all four sides, dimensions written to wd2 ht2
static inline float *ll_pad_input(
    const float *const input,
    const int wd,
    const int ht,
    const int max_supp,
    int *wd2,
    int *ht2,
    local_laplacian_boundary_t *b)
{
  const int stride = 4;
  *wd2 = 2*max_supp + wd;
  *ht2 = 2*max_supp + ht;
  float *const out = dt_pixelpipe_cache_alloc_align_float_cache((size_t) *wd2 * *ht2, 0);
  if(IS_NULL_PTR(out)) return NULL;
 
  if(b && b->mode == 2)
  { // pad by preview buffer
    __OMP_PARALLEL_FOR__(collapse(2)) // fill regular pixels:
    for(int j=0;j<ht;j++) for(int i=0;i<wd;i++)
      out[(j+max_supp)**wd2+i+max_supp] = input[stride*(wd*j+i)] * 0.01f; // L -> [0,1]
 
    // for all out of roi pixels on the boundary we wish to pad:
    // compute coordinate in full image.
    // if not out of buf:
    //   compute padded preview pixel coordinate (clamp to padded preview buffer size)
    // else
    //   pad as usual (hi-res sample and hold)
#define LL_FILL(fallback) do {\
    float isx = ((i - max_supp) + b->roi->x)/b->roi->scale;\
    float isy = ((j - max_supp) + b->roi->y)/b->roi->scale;\
    if(isx < 0 || isy >= b->buf->width\
    || isy < 0 || isy >= b->buf->height)\
      out[*wd2*j+i] = (fallback);\
    else\
    {\
      int px = CLAMP(isx / (float)b->buf->width  * b->wd + (b->pwd-b->wd)/2, 0, b->pwd-1);\
      int py = CLAMP(isy / (float)b->buf->height * b->ht + (b->pht-b->ht)/2, 0, b->pht-1);\
      /* TODO: linear interpolation?*/\
      out[*wd2*j+i] = b->pad0[b->pwd*py+px];\
    } } while(0)
    __OMP_PARALLEL_FOR__(collapse(2)) // left border
    for(int j=max_supp;j<*ht2-max_supp;j++) for(int i=0;i<max_supp;i++)
      LL_FILL(input[stride*wd*(j-max_supp)]* 0.01f);
    __OMP_PARALLEL_FOR__(collapse(2)) // right border
    for(int j=max_supp;j<*ht2-max_supp;j++) for(int i=wd+max_supp;i<*wd2;i++)
      LL_FILL(input[stride*((j-max_supp)*wd+wd-1)] * 0.01f);
    __OMP_PARALLEL_FOR__(collapse(2)) // top border
    for(int j=0;j<max_supp;j++) for(int i=0;i<*wd2;i++)
      LL_FILL(out[*wd2*max_supp+i]);
    __OMP_PARALLEL_FOR__(collapse(2)) // bottom border
    for(int j=max_supp+ht;j<*ht2;j++) for(int i=0;i<*wd2;i++)
      LL_FILL(out[*wd2*(max_supp+ht-1)+i]);
#undef LL_FILL
  }
  else
  { // pad by replication:
    __OMP_PARALLEL_FOR__()
    for(int j=0;j<ht;j++)
    {
      for(int i=0;i<max_supp;i++)
        out[(j+max_supp)**wd2+i] = input[stride*wd*j]* 0.01f; // L -> [0,1]
      for(int i=0;i<wd;i++)
        out[(j+max_supp)**wd2+i+max_supp] = input[stride*(wd*j+i)] * 0.01f; // L -> [0,1]
      for(int i=wd+max_supp;i<*wd2;i++)
        out[(j+max_supp)**wd2+i] = input[stride*(j*wd+wd-1)] * 0.01f; // L -> [0,1]
    }
    pad_by_replication(out, *wd2, *ht2, max_supp);
  }
#ifdef DEBUG_DUMP
  if(b && b->mode == 2)
  {
    dump_PFM("/tmp/padded.pfm",out,*wd2,*ht2);
  }
#endif
  return out;
}
 
 
static inline float ll_laplacian(
    const float *const coarse,   // coarse res gaussian
    const float *const fine,     // fine res gaussian
    const int i,                 // fine index
    const int j,
    const int wd,                // fine width
    const int ht)                // fine height
{
  const float c = ll_expand_gaussian(coarse,
      CLAMPS(i, 1, ((wd-1)&~1)-1), CLAMPS(j, 1, ((ht-1)&~1)-1), wd, ht);
  return fine[j*wd+i] - c;
}
 
static inline float curve_scalar(
    const float x,
    const float g,
    const float sigma,
    const float shadows,
    const float highlights,
    const float clarity)
{
  const float c = x-g;
  float val;
  // blend in via quadratic bezier
  if     (c >  2*sigma) val = g + sigma + shadows    * (c-sigma);
  else if(c < -2*sigma) val = g - sigma + highlights * (c+sigma);
  else if(c > 0.0f)
  { // shadow contrast
    const float t = CLAMPS(c / (2.0f*sigma), 0.0f, 1.0f);
    const float t2 = t * t;
    const float mt = 1.0f-t;
    val = g + sigma * 2.0f*mt*t + t2*(sigma + sigma*shadows);
  }
  else
  { // highlight contrast
    const float t = CLAMPS(-c / (2.0f*sigma), 0.0f, 1.0f);
    const float t2 = t * t;
    const float mt = 1.0f-t;
    val = g - sigma * 2.0f*mt*t + t2*(- sigma - sigma*highlights);
  }
  // midtone local contrast
  val += clarity * c * expf(-c*c/(2.0*sigma*sigma/3.0f));
  return val;
}
 
// scalar version
void apply_curve(
    float *const out,
    const float *const in,
    const uint32_t w,
    const uint32_t h,
    const uint32_t padding,
    const float g,
    const float sigma,
    const float shadows,
    const float highlights,
    const float clarity)
{
  __OMP_PARALLEL_FOR__()
  for(uint32_t j=padding;j<h-padding;j++)
  {
    const float *in2  = in  + j*w + padding;
    float *out2 = out + j*w + padding;
    for(uint32_t i=padding;i<w-padding;i++)
      (*out2++) = curve_scalar(*(in2++), g, sigma, shadows, highlights, clarity);
    out2 = out + j*w;
    for(int i=0;i<padding;i++)   out2[i] = out2[padding];
    for(int i=w-padding;i<w;i++) out2[i] = out2[w-padding-1];
  }
  pad_by_replication(out, w, h, padding);
}
 
int local_laplacian_internal(
    const float *const input,   // input buffer in some Labx or yuvx format
    float *const out,           // output buffer with colour
    const int wd,               // width and
    const int ht,               // height of the input buffer
    const float sigma,          // user param: separate shadows/mid-tones/highlights
    const float shadows,        // user param: lift shadows
    const float highlights,     // user param: compress highlights
    const float clarity,        // user param: increase clarity/local contrast
    const int use_sse2,         // flag whether to use SSE version
    local_laplacian_boundary_t *b)
{
  if(wd <= 1 || ht <= 1) return 0;
 
  // don't divide by 2 more often than we can:
  const int num_levels = MIN(max_levels, 31-__builtin_clz(MIN(wd,ht)));
  int last_level = num_levels-1;
  if(b && b->mode == 2) // higher number here makes it less prone to aliasing and slower.
    last_level = num_levels > 4 ? 4 : num_levels-1;
  const int max_supp = 1<<last_level;
  int w, h;
  int err = 0;
  float *padded[max_levels] = {0};
  if(b && b->mode == 2)
    padded[0] = ll_pad_input(input, wd, ht, max_supp, &w, &h, b);
  else
    padded[0] = ll_pad_input(input, wd, ht, max_supp, &w, &h, 0);
  if(padded[0] == NULL)
  {
    err = 1;
    goto error;
  }
 
  // allocate pyramid pointers for padded input
  for(int l=1;l<=last_level;l++)
  {
    padded[l] = dt_pixelpipe_cache_alloc_align_float_cache((size_t)dl(w,l) * dl(h,l), 0);
    if(padded[l] == NULL)
    {
      err = 1;
      goto error;
    }
  }
 
  // allocate pyramid pointers for output
  float *output[max_levels] = {0};
  for(int l=0;l<=last_level;l++)
  {
    output[l] = dt_pixelpipe_cache_alloc_align_float_cache((size_t)dl(w,l) * dl(h,l), 0);
    if(output[l] == NULL)
    {
      err = 1;
      goto error;
    }
  }
 
  // create gauss pyramid of padded input, write coarse directly to output
  for(int l=1;l<last_level;l++)
    gauss_reduce(padded[l-1], padded[l], dl(w,l-1), dl(h,l-1));
  gauss_reduce(padded[last_level-1], output[last_level], dl(w,last_level-1), dl(h,last_level-1));
 
  // evenly sample brightness [0,1]:
  float gamma[num_gamma] = {0.0f};
  for(int k=0;k<num_gamma;k++) gamma[k] = (k+.5f)/(float)num_gamma;
  // for(int k=0;k<num_gamma;k++) gamma[k] = k/(num_gamma-1.0f);
 
  // allocate memory for intermediate laplacian pyramids
  float *buf[num_gamma][max_levels] = {{0}};
  for(int k=0;k<num_gamma;k++) for(int l=0;l<=last_level;l++)
  {
    buf[k][l] = dt_pixelpipe_cache_alloc_align_float_cache((size_t)dl(w,l)*dl(h,l), 0);
    if(buf[k][l] == NULL)
    {
      err = 1;
      goto error;
    }
  }
 
  // the paper says remapping only level 3 not 0 does the trick, too
  // (but i really like the additional octave of sharpness we get,
  // willing to pay the cost).
  for(int k=0;k<num_gamma;k++)
  { // process images
    apply_curve(buf[k][0], padded[0], w, h, max_supp, gamma[k], sigma, shadows, highlights, clarity);
 
    // create gaussian pyramids
    for(int l=1;l<=last_level;l++)
      gauss_reduce(buf[k][l-1], buf[k][l], dl(w,l-1), dl(h,l-1));
  }
 
  // resample output[last_level] from preview
  // requires to transform from padded/downsampled to full image and then
  // to padded/downsampled in preview
  if(b && b->mode == 2)
  {
    const float isize = powf(2.0f, last_level) / b->roi->scale; // pixel size of coarsest level in image space
    const float psize = isize / b->buf->width * b->wd; // pixel footprint rescaled to preview buffer
    const float pl = log2f(psize); // mip level in preview buffer
    const int pl0 = CLAMP((int)pl, 0, b->num_levels-1), pl1 = CLAMP((int)(pl+1), 0, b->num_levels-1);
    const float weight = CLAMP(pl-pl0, 0, 1); // weight between mip levels
    const float mul0 = 1.0/powf(2.0f, pl0);
    const float mul1 = 1.0/powf(2.0f, pl1);
    const float mul = powf(2.0f, last_level);
    const int pw = dl(w,last_level), ph = dl(h,last_level);
    const int pw0 = dl(b->pwd, pl0), ph0 = dl(b->pht, pl0);
    const int pw1 = dl(b->pwd, pl1), ph1 = dl(b->pht, pl1);
    debug_dump_PFM("/tmp/coarse.pfm", b->output[pl0], pw0, ph0);
    debug_dump_PFM("/tmp/oldcoarse.pfm", output[last_level], pw, ph);
#ifdef _OPENMP
#pragma omp parallel for  collapse(2) default(shared)
#endif
    for(int j=0;j<ph;j++) for(int i=0;i<pw;i++)
    {
      // image coordinates in full buffer
      float ix = ((i*mul - max_supp) + b->roi->x)/b->roi->scale;
      float iy = ((j*mul - max_supp) + b->roi->y)/b->roi->scale;
      // coordinates in padded preview buffer (
      float px = CLAMP(ix / (float)b->buf->width  * b->wd + (b->pwd-b->wd)/2.0f, 0, b->pwd);
      float py = CLAMP(iy / (float)b->buf->height * b->ht + (b->pht-b->ht)/2.0f, 0, b->pht);
      // trilinear lookup:
      int px0 = CLAMP(px*mul0, 0, pw0-1);
      int py0 = CLAMP(py*mul0, 0, ph0-1);
      int px1 = CLAMP(px*mul1, 0, pw1-1);
      int py1 = CLAMP(py*mul1, 0, ph1-1);
#if 1
      float f0x = CLAMP(px*mul0 - px0, 0.0f, 1.0f);
      float f0y = CLAMP(py*mul0 - py0, 0.0f, 1.0f);
      float f1x = CLAMP(px*mul1 - px1, 0.0f, 1.0f);
      float f1y = CLAMP(py*mul1 - py1, 0.0f, 1.0f);
      float c0 =
        (1.0f-f0x)*(1.0f-f0y)*b->output[pl0][CLAMP(py0  , 0, ph0-1)*pw0 + CLAMP(px0  , 0, pw0-1)]+
        (     f0x)*(1.0f-f0y)*b->output[pl0][CLAMP(py0  , 0, ph0-1)*pw0 + CLAMP(px0+1, 0, pw0-1)]+
        (1.0f-f0x)*(     f0y)*b->output[pl0][CLAMP(py0+1, 0, ph0-1)*pw0 + CLAMP(px0  , 0, pw0-1)]+
        (     f0x)*(     f0y)*b->output[pl0][CLAMP(py0+1, 0, ph0-1)*pw0 + CLAMP(px0+1, 0, pw0-1)];
      float c1 =
        (1.0f-f1x)*(1.0f-f1y)*b->output[pl1][CLAMP(py1  , 0, ph1-1)*pw1 + CLAMP(px1  , 0, pw1-1)]+
        (     f1x)*(1.0f-f1y)*b->output[pl1][CLAMP(py1  , 0, ph1-1)*pw1 + CLAMP(px1+1, 0, pw1-1)]+
        (1.0f-f1x)*(     f1y)*b->output[pl1][CLAMP(py1+1, 0, ph1-1)*pw1 + CLAMP(px1  , 0, pw1-1)]+
        (     f1x)*(     f1y)*b->output[pl1][CLAMP(py1+1, 0, ph1-1)*pw1 + CLAMP(px1+1, 0, pw1-1)];
#else
      float c0 = b->output[pl0][py0*pw0 + px0];
      float c1 = b->output[pl1][py1*pw1 + px1];
#endif
      output[last_level][j*pw+i] = weight * c1 + (1.0f-weight) * c0;
    }
    debug_dump_PFM("/tmp/newcoarse.pfm", output[last_level], pw, ph);
  }
 
  // assemble output pyramid coarse to fine
  for(int l=last_level-1;l >= 0; l--)
  {
    const int pw = dl(w,l), ph = dl(h,l);
 
    gauss_expand(output[l+1], output[l], pw, ph);
    // go through all coefficients in the upsampled gauss buffer:
    __OMP_PARALLEL_FOR__(collapse(2))
    for(int j=0;j<ph;j++) for(int i=0;i<pw;i++)
    {
      const float v = padded[l][j*pw+i];
      int hi = 1;
      for(;hi<num_gamma-1 && gamma[hi] <= v;hi++);
      int lo = hi-1;
      const float a = CLAMPS((v - gamma[lo])/(gamma[hi]-gamma[lo]), 0.0f, 1.0f);
      const float l0 = ll_laplacian(buf[lo][l+1], buf[lo][l], i, j, pw, ph);
      const float l1 = ll_laplacian(buf[hi][l+1], buf[hi][l], i, j, pw, ph);
      output[l][j*pw+i] += l0 * (1.0f-a) + l1 * a;
      // we could do this to save on memory (no need for finest buf[][]).
      // unfortunately it results in a quite noticeable loss of sharpness, i think
      // the extra level is worth it.
      // else if(l == 0) // use finest scale from input to not amplify noise (and use less memory)
      //   output[l][j*pw+i] += ll_laplacian(padded[l+1], padded[l], i, j, pw, ph);
    }
  }
  __OMP_PARALLEL_FOR__(collapse(2))
  for(int j=0;j<ht;j++) for(int i=0;i<wd;i++)
  {
    out[4*(j*wd+i)+0] = 100.0f * output[0][(j+max_supp)*w+max_supp+i]; // [0,1] -> L
    out[4*(j*wd+i)+1] = input[4*(j*wd+i)+1]; // copy original colour channels
    out[4*(j*wd+i)+2] = input[4*(j*wd+i)+2];
  }
  if(b && b->mode == 1)
  { // output the buffers for later re-use
    b->pad0 = padded[0];
    b->wd = wd;
    b->ht = ht;
    b->pwd = w;
    b->pht = h;
    b->num_levels = num_levels;
    for(int l=0;l<num_levels;l++) b->output[l] = output[l];
  }
 
error:;
  // free all buffers except the ones passed out for preview rendering
  const int keep_preview = (b && b->mode == 1 && err == 0);
  for(int l=0;l<max_levels;l++)
  {
    if(!keep_preview || l)
      dt_pixelpipe_cache_free_align(padded[l]);
    if(!keep_preview)
      dt_pixelpipe_cache_free_align(output[l]);
    for(int k=0; k<num_gamma;k++)
      dt_pixelpipe_cache_free_align(buf[k][l]);
  }
  return err;
}
 
 
size_t local_laplacian_memory_use(const int width,     // width of input image
                                  const int height)    // height of input image
{
  const int num_levels = MIN(max_levels, 31-__builtin_clz(MIN(width,height)));
  const int max_supp = 1<<(num_levels-1);
  const int paddwd = width  + 2*max_supp;
  const int paddht = height + 2*max_supp;
 
  size_t memory_use = 0;
 
  for(int l=0;l<num_levels;l++)
    memory_use += sizeof(float) * (2 + num_gamma) * dl(paddwd, l) * dl(paddht, l);
 
  return memory_use;
}
 
size_t local_laplacian_singlebuffer_size(const int width,     // width of input image
                                         const int height)    // height of input image
{
  const int num_levels = MIN(max_levels, 31-__builtin_clz(MIN(width,height)));
  const int max_supp = 1<<(num_levels-1);
  const int paddwd = width  + 2*max_supp;
  const int paddht = height + 2*max_supp;
 
  return sizeof(float) * dl(paddwd, 0) * dl(paddht, 0);
}
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