54 lines
1.9 KiB
Plaintext
54 lines
1.9 KiB
Plaintext
#version 430 core
|
|
|
|
layout(local_size_x = 16, local_size_y = 16) in;
|
|
|
|
layout(binding = 0, rgba32f) uniform readonly image2D u_input;
|
|
layout(binding = 1, rgba32f) uniform writeonly image2D u_output;
|
|
|
|
uniform int u_radius; // 1 => 3x3, 2 => 5x5
|
|
|
|
// Gaussian weight based on distance
|
|
float gaussian_weight(float dist, float sigma) {
|
|
return exp(-0.5 * dist * dist / (sigma * sigma));
|
|
}
|
|
|
|
// Bilateral filter: considers both spatial distance and color similarity
|
|
void main() {
|
|
ivec2 p = ivec2(gl_GlobalInvocationID.xy);
|
|
ivec2 size = imageSize(u_output);
|
|
if (p.x >= size.x || p.y >= size.y) return;
|
|
|
|
vec3 center_color = imageLoad(u_input, p).rgb;
|
|
|
|
// Sigma values for bilateral filter
|
|
float sigma_space = float(u_radius); // spatial sigma
|
|
float sigma_color = 0.3; // color sigma (adjust for more/less smoothing)
|
|
|
|
vec3 sum = vec3(0.0);
|
|
float weight_sum = 0.0;
|
|
|
|
for (int dy = -u_radius; dy <= u_radius; ++dy) {
|
|
for (int dx = -u_radius; dx <= u_radius; ++dx) {
|
|
ivec2 q = clamp(p + ivec2(dx, dy), ivec2(0), size - ivec2(1));
|
|
vec3 sample_color = imageLoad(u_input, q).rgb;
|
|
|
|
// Spatial weight (Gaussian based on distance)
|
|
float spatial_dist = length(vec2(float(dx), float(dy)));
|
|
float spatial_weight = gaussian_weight(spatial_dist, sigma_space);
|
|
|
|
// Color weight (Gaussian based on color difference)
|
|
float color_dist = length(sample_color - center_color);
|
|
float color_weight = gaussian_weight(color_dist, sigma_color);
|
|
|
|
// Combined bilateral weight
|
|
float weight = spatial_weight * color_weight;
|
|
|
|
sum += sample_color * weight;
|
|
weight_sum += weight;
|
|
}
|
|
}
|
|
|
|
vec3 out_color = sum / max(weight_sum, 1e-6);
|
|
imageStore(u_output, p, vec4(out_color, 1.0));
|
|
}
|