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/*
This file is part of darktable,
copyright (c) 2025 darktable developer.
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.h"
#define CAPTURE_KERNEL_ALIGN 32
#define CAPTURE_YMIN 0.001f
#define CAPTURE_SMALL_ULIM 66
__kernel void kernel_9x9_mul(global float *in,
global float *out,
global float *blend,
global float *kernels,
global unsigned char *table,
const int w1,
const int height)
{
const int col = get_global_id(0);
const int row = get_global_id(1);
if(col >= w1 || row >= height) return;
const int i = mad24(row, w1, col);
const int w2 = 2 * w1;
const int w3 = 3 * w1;
const int w4 = 4 * w1;
if(blend[i] <= 0.0f) return;
global const float *kern = kernels + CAPTURE_KERNEL_ALIGN * table[i];
global float *d = in + i;
const bool small = table[i] < CAPTURE_SMALL_ULIM;
const int bd = small ? 2 : 4;
float val = 0.0f;
if(col >= bd && row >= bd && (col < w1 - bd) && (row < height - bd))
{
if(small)
{
val =
kern[ 5+2] * (d[-w2-1] + d[-w2+1] + d[-w1-2] + d[-w1+2] + d[w1-2] + d[w1+2] + d[w2-1] + d[w2+1]) +
kern[ 2] * (d[-w2 ] + d[ -2] + d[ 2] + d[ w2 ]) +
kern[ 5+1] * (d[-w1-1] + d[-w1+1] + d[ w1-1] + d[ w1+1]) +
kern[ 1] * (d[-w1 ] + d[ -1] + d[ 1] + d[ w1 ]) +
kern[ 0] * (d[0]);
}
else
{
val =
kern[10+4] * (d[-w4-2] + d[-w4+2] + d[-w2-4] + d[-w2+4] + d[w2-4] + d[w2+4] + d[w4-2] + d[w4+2]) +
kern[5 +4] * (d[-w4-1] + d[-w4+1] + d[-w1-4] + d[-w1+4] + d[w1-4] + d[w1+4] + d[w4-1] + d[w4+1]) +
kern[4] * (d[-w4 ] + d[ -4] + d[ 4] + d[ w4 ]) +
kern[15+3] * (d[-w3-3] + d[-w3+3] + d[ w3-3] + d[ w3+3]) +
kern[10+3] * (d[-w3-2] + d[-w3+2] + d[-w2-3] + d[-w2+3] + d[w2-3] + d[w2+3] + d[w3-2] + d[w3+2]) +
kern[ 5+3] * (d[-w3-1] + d[-w3+1] + d[-w1-3] + d[-w1+3] + d[w1-3] + d[w1+3] + d[w3-1] + d[w3+1]) +
kern[ 3] * (d[-w3 ] + d[ -3] + d[ 3] + d[ w3 ]) +
kern[10+2] * (d[-w2-2] + d[-w2+2] + d[ w2-2] + d[ w2+2]) +
kern[ 5+2] * (d[-w2-1] + d[-w2+1] + d[-w1-2] + d[-w1+2] + d[w1-2] + d[w1+2] + d[w2-1] + d[w2+1]) +
kern[ 2] * (d[-w2 ] + d[ -2] + d[ 2] + d[ w2 ]) +
kern[ 5+1] * (d[-w1-1] + d[-w1+1] + d[ w1-1] + d[ w1+1]) +
kern[ 1] * (d[-w1 ] + d[ -1] + d[ 1] + d[ w1 ]) +
kern[ 0] * (d[0]);
}
}
else
{
for(int ir = -bd; ir <= bd; ir++)
{
const int irow = row+ir;
if(irow >= 0 && irow < height)
{
for(int ic = -bd; ic <= bd; ic++)
{
const int icol = col+ic;
if(icol >=0 && icol < w1)
val += kern[5 * abs(ir) + abs(ic)] * in[mad24(irow, w1, icol)];
}
}
}
}
out[i] *= val;
}
__kernel void kernel_9x9_div(global float *in,
global float *out,
global float *luminance,
global float *blend,
global float *kernels,
global unsigned char *table,
const int w1,
const int height)
{
const int col = get_global_id(0);
const int row = get_global_id(1);
if(col >= w1 || row >= height) return;
const int i = mad24(row, w1, col);
const int w2 = 2 * w1;
const int w3 = 3 * w1;
const int w4 = 4 * w1;
if(blend[i] <= 0.0f) return;
global const float *kern = kernels + CAPTURE_KERNEL_ALIGN * table[i];
global float *d = in + i;
const bool small = table[i] < CAPTURE_SMALL_ULIM;
const int bd = small ? 2 : 4;
float val = 0.0f;
if(col >= bd && row >= bd && (col < w1 - bd) && (row < height - bd))
{
if(small)
{
val =
kern[ 5+2] * (d[-w2-1] + d[-w2+1] + d[-w1-2] + d[-w1+2] + d[w1-2] + d[w1+2] + d[w2-1] + d[w2+1]) +
kern[ 2] * (d[-w2 ] + d[ -2] + d[ 2] + d[ w2 ]) +
kern[ 5+1] * (d[-w1-1] + d[-w1+1] + d[ w1-1] + d[ w1+1]) +
kern[ 1] * (d[-w1 ] + d[ -1] + d[ 1] + d[ w1 ]) +
kern[ 0] * (d[0]);
}
else
{
val =
kern[10+4] * (d[-w4-2] + d[-w4+2] + d[-w2-4] + d[-w2+4] + d[w2-4] + d[w2+4] + d[w4-2] + d[w4+2]) +
kern[5 +4] * (d[-w4-1] + d[-w4+1] + d[-w1-4] + d[-w1+4] + d[w1-4] + d[w1+4] + d[w4-1] + d[w4+1]) +
kern[4] * (d[-w4 ] + d[ -4] + d[ 4] + d[ w4 ]) +
kern[15+3] * (d[-w3-3] + d[-w3+3] + d[ w3-3] + d[ w3+3]) +
kern[10+3] * (d[-w3-2] + d[-w3+2] + d[-w2-3] + d[-w2+3] + d[w2-3] + d[w2+3] + d[w3-2] + d[w3+2]) +
kern[ 5+3] * (d[-w3-1] + d[-w3+1] + d[-w1-3] + d[-w1+3] + d[w1-3] + d[w1+3] + d[w3-1] + d[w3+1]) +
kern[ 3] * (d[-w3 ] + d[ -3] + d[ 3] + d[ w3 ]) +
kern[10+2] * (d[-w2-2] + d[-w2+2] + d[ w2-2] + d[ w2+2]) +
kern[ 5+2] * (d[-w2-1] + d[-w2+1] + d[-w1-2] + d[-w1+2] + d[w1-2] + d[w1+2] + d[w2-1] + d[w2+1]) +
kern[ 2] * (d[-w2 ] + d[ -2] + d[ 2] + d[ w2 ]) +
kern[ 5+1] * (d[-w1-1] + d[-w1+1] + d[ w1-1] + d[ w1+1]) +
kern[ 1] * (d[-w1 ] + d[ -1] + d[ 1] + d[ w1 ]) +
kern[ 0] * (d[0]);
}
}
else
{
for(int ir = -bd; ir <= bd; ir++)
{
const int irow = row+ir;
if(irow >= 0 && irow < height)
{
for(int ic = -bd; ic <= bd; ic++)
{
const int icol = col+ic;
if(icol >=0 && icol < w1)
val += kern[5 * abs(ir) + abs(ic)] * in[mad24(irow, w1, icol)];
}
}
}
}
out[i] = luminance[i] / fmax(val, CAPTURE_YMIN);
}
__kernel void prefill_clip_mask(global float *mask,
const int width,
const int height)
{
const int col = get_global_id(0);
const int row = get_global_id(1);
if(col >= width || row >= height) return;
const int i = mad24(row, width, col);
mask[i] = 1.0f;
}
__kernel void prepare_blend(__read_only image2d_t cfa,
__read_only image2d_t dev_out,
const int filters,
global const unsigned char (*const xtrans)[6],
global float *mask,
global float *Yold,
global float *whites,
const int w,
const int height)
{
const int col = get_global_id(0);
const int row = get_global_id(1);
if(col >= w || row >= height) return;
float4 rgb = read_imagef(dev_out, samplerA, (int2)(col, row));
// Photometric/digital ITU BT.709
const float4 flum = (float4)( 0.212671f, 0.715160f, 0.072169f, 0.0f );
rgb *= flum;
const float Y = fmax(0.0f, rgb.x + rgb.y + rgb.z);
const int k = mad24(row, w, col);
Yold[k] = Y;
if(row > 1 && col > 1 && (row < height-2) && (col < w -2))
{
const int w2 = 2 * w;
const int color = (filters == 9u) ? FCxtrans(row, col, xtrans) : FC(row, col, filters);
const float val = read_imagef(cfa, samplerA, (int2)(col, row)).x;
if(val > whites[color] || Y < CAPTURE_YMIN)
{
mask[k-w2-1] = mask[k-w2] = mask[k-w2+1] =
mask[k-w-2] = mask[k-w-1] = mask[k-w ] = mask[k-w+1] = mask[k-w+2] =
mask[k-2] = mask[k-1] = mask[k] = mask[k+1] = mask[k+2] =
mask[k+w-2] = mask[k+w-1] = mask[k+w] = mask[k+w+1] = mask[k+w+2] =
mask[k+w2-1] = mask[k+w2] = mask[k+w2+1] = 0.0f;
}
}
else
mask[k] = 0.0f;
}
__kernel void modify_blend(global float *blend,
global float *Yold,
global float *luminance,
const float dthresh,
const int width,
const int height)
{
const int icol = get_global_id(0);
const int irow = get_global_id(1);
if(icol >= width || irow >= height) return;
const int row = clamp(irow, 2, height-3);
const int col = clamp(icol, 2, width-3);
const float threshold = 0.6f * fsquare(dthresh);
const float tscale = 200.0f;
const float offset = -2.5f + tscale * threshold / 2.0f;
float sum = 0.0f;
float sum_sq = 0.0f;
for(int y = row-1; y < row+2; y++)
{
for(int x = col-2; x < col+3; x++)
{
sum += Yold[mad24(y, width, x)];
sum_sq += fsquare(Yold[mad24(y, width, x)]);
}
}
for(int x = col-1; x < col+2; x++)
{
sum += Yold[mad24(row-2, width, x)];
sum_sq += fsquare(Yold[mad24(row-2, width, x)]);
sum += Yold[mad24(row+2, width, x)];
sum_sq += fsquare(Yold[mad24(row+2, width, x)]);
}
const int k = mad24(irow, width, icol);
const float sum_of_squares = fmax(0.0f, sum_sq - fsquare(sum) / 21.0f);
const float std_deviation = dtcl_sqrt(sum_of_squares / 21.0f);
const float modified_coef_variation = std_deviation / dtcl_sqrt(fmax(NORM_MIN, sum / 21.0f));
const float t = dtcl_log(1.0f + modified_coef_variation);
const float weight = 1.0f / (1.0f + dtcl_exp(offset - tscale * t));
blend[k] = clipf(blend[k] * 1.01011f * (weight - 0.01f));
luminance[k] = Yold[k];
}
__kernel void final_blend(global float *blendmask,
global float *unblurred,
int pixels)
{
const int k = get_global_id(0);
if(k >= pixels) return;
const float diff = unblurred[k] - blendmask[k];
const float w_tmp2 = 1.0f / (1.0f + dtcl_exp(5.0f - 10.0f * diff));
blendmask[k] = clipf(w_tmp2 * unblurred[k] + (1.0f - w_tmp2) * blendmask[k]);
}
__kernel void show_blend_mask(__read_only image2d_t in,
__write_only image2d_t out,
global float *blend_mask,
global unsigned char *sigma_mask,
const int width,
const int height,
const int blender)
{
const int col = get_global_id(0);
const int row = get_global_id(1);
if(col >= width || row >= height) return;
float4 pix = read_imagef(in, samplerA, (int2)(col, row));
const float blend = blender ? blend_mask[mad24(row, width, col)]
: (float)sigma_mask[mad24(row, width, col)] / 255.0f;
pix.w = blend;
write_imagef(out, (int2)(col, row), pix);
}
__kernel void capture_result( __read_only image2d_t in,
__write_only image2d_t out,
global float *blendmask,
global float *luminance,
global float *tmp,
const int width,
const int height)
{
const int col = get_global_id(0);
const int row = get_global_id(1);
if(col >= width || row >= height) return;
float4 pix = read_imagef(in, samplerA, (int2)(col, row));
const int k = mad24(row, width, col);
if(blendmask[k] > 0.0f)
{
const float mixer = clipf(blendmask[k]);
const float luminance_new = mix(luminance[k], tmp[k], mixer);
const float4 factor = luminance_new / fmax(luminance[k], CAPTURE_YMIN);
pix *= factor;
}
write_imagef(out, (int2)(col, row), pix);
}
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