103 lines
No EOL
3.7 KiB
GLSL
103 lines
No EOL
3.7 KiB
GLSL
// MIT License
|
|
|
|
// Copyright (c) 2019-2021 bloc97
|
|
// All rights reserved.
|
|
|
|
// Permission is hereby granted, free of charge, to any person obtaining a copy
|
|
// of this software and associated documentation files (the "Software"), to deal
|
|
// in the Software without restriction, including without limitation the rights
|
|
// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
|
// copies of the Software, and to permit persons to whom the Software is
|
|
// furnished to do so, subject to the following conditions:
|
|
|
|
// The above copyright notice and this permission notice shall be included in all
|
|
// copies or substantial portions of the Software.
|
|
|
|
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
|
// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
|
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
|
// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
|
// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
|
// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
|
|
// SOFTWARE.
|
|
|
|
//!DESC Anime4K-v3.2-Denoise-Bilateral-Mode-Luma
|
|
//!HOOK MAIN
|
|
//!BIND HOOKED
|
|
//!SAVE LINELUMA
|
|
//!COMPONENTS 1
|
|
|
|
float get_luma(vec4 rgba) {
|
|
return dot(vec4(0.299, 0.587, 0.114, 0.0), rgba);
|
|
}
|
|
|
|
vec4 hook() {
|
|
return vec4(get_luma(HOOKED_tex(HOOKED_pos)), 0.0, 0.0, 0.0);
|
|
}
|
|
|
|
//!DESC Anime4K-v3.1-Denoise-Bilateral-Mode-Apply
|
|
//!HOOK MAIN
|
|
//!BIND HOOKED
|
|
//!BIND LINELUMA
|
|
|
|
#define INTENSITY_SIGMA 0.1 //Intensity window size, higher is stronger denoise, must be a positive real number
|
|
#define SPATIAL_SIGMA 1.0 //Spatial window size, higher is stronger denoise, must be a positive real number.
|
|
#define HISTOGRAM_REGULARIZATION 0.2 //Histogram regularization window size, higher values approximate a bilateral "closest-to-mean" filter.
|
|
|
|
#define INTENSITY_POWER_CURVE 1.0 //Intensity window power curve. Setting it to 0 will make the intensity window treat all intensities equally, while increasing it will make the window narrower in darker intensities and wider in brighter intensities.
|
|
|
|
#define KERNELSIZE int(max(int(SPATIAL_SIGMA), 1) * 2 + 1) //Kernel size, must be an positive odd integer.
|
|
#define KERNELHALFSIZE (int(KERNELSIZE/2)) //Half of the kernel size without remainder. Must be equal to trunc(KERNELSIZE/2).
|
|
#define KERNELLEN (KERNELSIZE * KERNELSIZE) //Total area of kernel. Must be equal to KERNELSIZE * KERNELSIZE.
|
|
|
|
#define GETOFFSET(i) vec2((i % KERNELSIZE) - KERNELHALFSIZE, (i / KERNELSIZE) - KERNELHALFSIZE)
|
|
|
|
float gaussian(float x, float s, float m) {
|
|
float scaled = (x - m) / s;
|
|
return exp(-0.5 * scaled * scaled);
|
|
}
|
|
|
|
vec4 getMode(vec4 v[KERNELLEN], float w[KERNELLEN]) {
|
|
vec4 maxv = vec4(0);
|
|
float maxw = 0.0;
|
|
|
|
for (int i=0; i<KERNELLEN; i++) {
|
|
if (w[i] >= maxw) {
|
|
maxw = w[i];
|
|
maxv = v[i];
|
|
}
|
|
}
|
|
|
|
return maxv;
|
|
}
|
|
|
|
vec4 hook() {
|
|
vec4 histogram_v[KERNELLEN];
|
|
float histogram_l[KERNELLEN];
|
|
float histogram_w[KERNELLEN];
|
|
float histogram_wn[KERNELLEN];
|
|
|
|
float vc = LINELUMA_tex(HOOKED_pos).x;
|
|
|
|
float is = pow(vc + 0.0001, INTENSITY_POWER_CURVE) * INTENSITY_SIGMA;
|
|
float ss = SPATIAL_SIGMA;
|
|
|
|
for (int i=0; i<KERNELLEN; i++) {
|
|
vec2 ipos = GETOFFSET(i);
|
|
histogram_v[i] = HOOKED_texOff(ipos);
|
|
histogram_l[i] = LINELUMA_texOff(ipos).x;
|
|
histogram_w[i] = gaussian(histogram_l[i], is, vc) * gaussian(length(ipos), ss, 0.0);
|
|
histogram_wn[i] = 0.0;
|
|
}
|
|
|
|
for (int i=0; i<KERNELLEN; i++) {
|
|
histogram_wn[i] += gaussian(0.0, HISTOGRAM_REGULARIZATION, 0.0) * histogram_w[i];
|
|
for (int j=(i+1); j<KERNELLEN; j++) {
|
|
float d = gaussian(histogram_l[j], HISTOGRAM_REGULARIZATION, histogram_l[i]);
|
|
histogram_wn[j] += d * histogram_w[i];
|
|
histogram_wn[i] += d * histogram_w[j];
|
|
}
|
|
}
|
|
|
|
return getMode(histogram_v, histogram_wn);
|
|
} |