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https://github.com/FFmpeg/FFmpeg.git
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8b8b0e2cd2
This filter does HDR(HDR10/HLG) to SDR conversion with tone-mapping. An example command to use this filter with vaapi codecs: FFMPEG -init_hw_device vaapi=va:/dev/dri/renderD128 -init_hw_device \ opencl=ocl@va -hwaccel vaapi -hwaccel_device va -hwaccel_output_format \ vaapi -i INPUT -filter_hw_device ocl -filter_complex \ '[0:v]hwmap,tonemap_opencl=t=bt2020:tonemap=linear:format=p010[x1]; \ [x1]hwmap=derive_device=vaapi:reverse=1' -c:v hevc_vaapi -profile 2 OUTPUT Signed-off-by: Ruiling Song <ruiling.song@intel.com>
273 lines
9.4 KiB
Common Lisp
273 lines
9.4 KiB
Common Lisp
/*
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* This file is part of FFmpeg.
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*
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* FFmpeg is free software; you can redistribute it and/or
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* modify it under the terms of the GNU Lesser General Public
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* License as published by the Free Software Foundation; either
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* version 2.1 of the License, or (at your option) any later version.
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*
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* FFmpeg is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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* Lesser General Public License for more details.
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*
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* You should have received a copy of the GNU Lesser General Public
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* License along with FFmpeg; if not, write to the Free Software
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* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
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*/
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#define REFERENCE_WHITE 100.0f
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extern float3 lrgb2yuv(float3);
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extern float lrgb2y(float3);
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extern float3 yuv2lrgb(float3);
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extern float3 lrgb2lrgb(float3);
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extern float get_luma_src(float3);
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extern float get_luma_dst(float3);
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extern float3 ootf(float3 c, float peak);
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extern float3 inverse_ootf(float3 c, float peak);
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extern float3 get_chroma_sample(float3, float3, float3, float3);
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struct detection_result {
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float peak;
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float average;
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};
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float hable_f(float in) {
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float a = 0.15f, b = 0.50f, c = 0.10f, d = 0.20f, e = 0.02f, f = 0.30f;
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return (in * (in * a + b * c) + d * e) / (in * (in * a + b) + d * f) - e / f;
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}
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float direct(float s, float peak) {
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return s;
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}
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float linear(float s, float peak) {
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return s * tone_param / peak;
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}
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float gamma(float s, float peak) {
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float p = s > 0.05f ? s /peak : 0.05f / peak;
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float v = powr(p, 1.0f / tone_param);
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return s > 0.05f ? v : (s * v /0.05f);
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}
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float clip(float s, float peak) {
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return clamp(s * tone_param, 0.0f, 1.0f);
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}
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float reinhard(float s, float peak) {
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return s / (s + tone_param) * (peak + tone_param) / peak;
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}
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float hable(float s, float peak) {
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return hable_f(s)/hable_f(peak);
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}
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float mobius(float s, float peak) {
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float j = tone_param;
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float a, b;
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if (s <= j)
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return s;
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a = -j * j * (peak - 1.0f) / (j * j - 2.0f * j + peak);
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b = (j * j - 2.0f * j * peak + peak) / max(peak - 1.0f, 1e-6f);
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return (b * b + 2.0f * b * j + j * j) / (b - a) * (s + a) / (s + b);
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}
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// detect peak/average signal of a frame, the algorithm was ported from:
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// libplacebo (https://github.com/haasn/libplacebo)
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struct detection_result
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detect_peak_avg(global uint *util_buf, __local uint *sum_wg,
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float signal, float peak) {
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// layout of the util buffer
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//
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// Name: : Size (units of 4-bytes)
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// average buffer : detection_frames + 1
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// peak buffer : detection_frames + 1
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// workgroup counter : 1
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// total of peak : 1
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// total of average : 1
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// frame index : 1
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// frame number : 1
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global uint *avg_buf = util_buf;
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global uint *peak_buf = avg_buf + DETECTION_FRAMES + 1;
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global uint *counter_wg_p = peak_buf + DETECTION_FRAMES + 1;
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global uint *max_total_p = counter_wg_p + 1;
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global uint *avg_total_p = max_total_p + 1;
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global uint *frame_idx_p = avg_total_p + 1;
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global uint *scene_frame_num_p = frame_idx_p + 1;
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uint frame_idx = *frame_idx_p;
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uint scene_frame_num = *scene_frame_num_p;
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size_t lidx = get_local_id(0);
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size_t lidy = get_local_id(1);
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size_t lsizex = get_local_size(0);
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size_t lsizey = get_local_size(1);
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uint num_wg = get_num_groups(0) * get_num_groups(1);
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size_t group_idx = get_group_id(0);
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size_t group_idy = get_group_id(1);
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struct detection_result r = {peak, sdr_avg};
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if (lidx == 0 && lidy == 0)
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*sum_wg = 0;
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barrier(CLK_LOCAL_MEM_FENCE);
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// update workgroup sum
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atomic_add(sum_wg, (uint)(signal * REFERENCE_WHITE));
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barrier(CLK_LOCAL_MEM_FENCE);
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// update frame peak/avg using work-group-average.
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if (lidx == 0 && lidy == 0) {
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uint avg_wg = *sum_wg / (lsizex * lsizey);
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atomic_max(&peak_buf[frame_idx], avg_wg);
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atomic_add(&avg_buf[frame_idx], avg_wg);
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}
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if (scene_frame_num > 0) {
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float peak = (float)*max_total_p / (REFERENCE_WHITE * scene_frame_num);
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float avg = (float)*avg_total_p / (REFERENCE_WHITE * scene_frame_num);
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r.peak = max(1.0f, peak);
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r.average = max(0.25f, avg);
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}
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if (lidx == 0 && lidy == 0 && atomic_add(counter_wg_p, 1) == num_wg - 1) {
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*counter_wg_p = 0;
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avg_buf[frame_idx] /= num_wg;
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if (scene_threshold > 0.0f) {
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uint cur_max = peak_buf[frame_idx];
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uint cur_avg = avg_buf[frame_idx];
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int diff = (int)(scene_frame_num * cur_avg) - (int)*avg_total_p;
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if (abs(diff) > scene_frame_num * scene_threshold * REFERENCE_WHITE) {
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for (uint i = 0; i < DETECTION_FRAMES + 1; i++)
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avg_buf[i] = 0;
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for (uint i = 0; i < DETECTION_FRAMES + 1; i++)
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peak_buf[i] = 0;
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*avg_total_p = *max_total_p = 0;
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*scene_frame_num_p = 0;
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avg_buf[frame_idx] = cur_avg;
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peak_buf[frame_idx] = cur_max;
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}
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}
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uint next = (frame_idx + 1) % (DETECTION_FRAMES + 1);
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// add current frame, subtract next frame
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*max_total_p += peak_buf[frame_idx] - peak_buf[next];
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*avg_total_p += avg_buf[frame_idx] - avg_buf[next];
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// reset next frame
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peak_buf[next] = avg_buf[next] = 0;
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*frame_idx_p = next;
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*scene_frame_num_p = min(*scene_frame_num_p + 1,
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(uint)DETECTION_FRAMES);
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}
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return r;
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}
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float3 map_one_pixel_rgb(float3 rgb, float peak, float average) {
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float sig = max(max(rgb.x, max(rgb.y, rgb.z)), 1e-6f);
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// Rescale the variables in order to bring it into a representation where
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// 1.0 represents the dst_peak. This is because all of the tone mapping
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// algorithms are defined in such a way that they map to the range [0.0, 1.0].
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if (target_peak > 1.0f) {
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sig *= 1.0f / target_peak;
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peak *= 1.0f / target_peak;
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}
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float sig_old = sig;
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// Scale the signal to compensate for differences in the average brightness
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float slope = min(1.0f, sdr_avg / average);
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sig *= slope;
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peak *= slope;
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// Desaturate the color using a coefficient dependent on the signal level
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if (desat_param > 0.0f) {
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float luma = get_luma_dst(rgb);
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float coeff = max(sig - 0.18f, 1e-6f) / max(sig, 1e-6f);
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coeff = native_powr(coeff, 10.0f / desat_param);
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rgb = mix(rgb, (float3)luma, (float3)coeff);
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sig = mix(sig, luma * slope, coeff);
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}
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sig = TONE_FUNC(sig, peak);
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sig = min(sig, 1.0f);
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rgb *= (sig/sig_old);
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return rgb;
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}
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// map from source space YUV to destination space RGB
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float3 map_to_dst_space_from_yuv(float3 yuv, float peak) {
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float3 c = yuv2lrgb(yuv);
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c = ootf(c, peak);
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c = lrgb2lrgb(c);
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return c;
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}
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__kernel void tonemap(__write_only image2d_t dst1,
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__read_only image2d_t src1,
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__write_only image2d_t dst2,
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__read_only image2d_t src2,
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global uint *util_buf,
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float peak
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)
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{
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__local uint sum_wg;
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const sampler_t sampler = (CLK_NORMALIZED_COORDS_FALSE |
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CLK_ADDRESS_CLAMP_TO_EDGE |
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CLK_FILTER_NEAREST);
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int xi = get_global_id(0);
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int yi = get_global_id(1);
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// each work item process four pixels
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int x = 2 * xi;
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int y = 2 * yi;
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float y0 = read_imagef(src1, sampler, (int2)(x, y)).x;
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float y1 = read_imagef(src1, sampler, (int2)(x + 1, y)).x;
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float y2 = read_imagef(src1, sampler, (int2)(x, y + 1)).x;
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float y3 = read_imagef(src1, sampler, (int2)(x + 1, y + 1)).x;
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float2 uv = read_imagef(src2, sampler, (int2)(xi, yi)).xy;
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float3 c0 = map_to_dst_space_from_yuv((float3)(y0, uv.x, uv.y), peak);
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float3 c1 = map_to_dst_space_from_yuv((float3)(y1, uv.x, uv.y), peak);
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float3 c2 = map_to_dst_space_from_yuv((float3)(y2, uv.x, uv.y), peak);
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float3 c3 = map_to_dst_space_from_yuv((float3)(y3, uv.x, uv.y), peak);
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float sig0 = max(c0.x, max(c0.y, c0.z));
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float sig1 = max(c1.x, max(c1.y, c1.z));
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float sig2 = max(c2.x, max(c2.y, c2.z));
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float sig3 = max(c3.x, max(c3.y, c3.z));
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float sig = max(sig0, max(sig1, max(sig2, sig3)));
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struct detection_result r = detect_peak_avg(util_buf, &sum_wg, sig, peak);
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float3 c0_old = c0, c1_old = c1, c2_old = c2;
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c0 = map_one_pixel_rgb(c0, r.peak, r.average);
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c1 = map_one_pixel_rgb(c1, r.peak, r.average);
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c2 = map_one_pixel_rgb(c2, r.peak, r.average);
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c3 = map_one_pixel_rgb(c3, r.peak, r.average);
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c0 = inverse_ootf(c0, target_peak);
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c1 = inverse_ootf(c1, target_peak);
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c2 = inverse_ootf(c2, target_peak);
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c3 = inverse_ootf(c3, target_peak);
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y0 = lrgb2y(c0);
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y1 = lrgb2y(c1);
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y2 = lrgb2y(c2);
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y3 = lrgb2y(c3);
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float3 chroma_c = get_chroma_sample(c0, c1, c2, c3);
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float3 chroma = lrgb2yuv(chroma_c);
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if (xi < get_image_width(dst2) && yi < get_image_height(dst2)) {
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write_imagef(dst1, (int2)(x, y), (float4)(y0, 0.0f, 0.0f, 1.0f));
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write_imagef(dst1, (int2)(x+1, y), (float4)(y1, 0.0f, 0.0f, 1.0f));
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write_imagef(dst1, (int2)(x, y+1), (float4)(y2, 0.0f, 0.0f, 1.0f));
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write_imagef(dst1, (int2)(x+1, y+1), (float4)(y3, 0.0f, 0.0f, 1.0f));
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write_imagef(dst2, (int2)(xi, yi),
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(float4)(chroma.y, chroma.z, 0.0f, 1.0f));
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}
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}
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