diff options
Diffstat (limited to 'intern/cycles/device/device_denoising.cpp')
| -rw-r--r-- | intern/cycles/device/device_denoising.cpp | 12 |
1 files changed, 8 insertions, 4 deletions
diff --git a/intern/cycles/device/device_denoising.cpp b/intern/cycles/device/device_denoising.cpp index 05a7fb8ae4d..55548c98b97 100644 --- a/intern/cycles/device/device_denoising.cpp +++ b/intern/cycles/device/device_denoising.cpp @@ -104,7 +104,8 @@ void DenoisingTask::set_render_buffer(RenderTile *rtiles) void DenoisingTask::setup_denoising_buffer() { - /* Expand filter_area by radius pixels and clamp the result to the extent of the neighboring tiles */ + /* Expand filter_area by radius pixels and clamp the result to the extent of the neighboring + * tiles */ rect = rect_from_shape(filter_area.x, filter_area.y, filter_area.z, filter_area.w); rect = rect_expand(rect, radius); rect = rect_clip(rect, @@ -149,16 +150,19 @@ void DenoisingTask::prefilter_shadowing() device_sub_ptr buffer_var(buffer.mem, 5 * buffer.pass_stride, buffer.pass_stride); device_sub_ptr filtered_var(buffer.mem, 6 * buffer.pass_stride, buffer.pass_stride); - /* Get the A/B unfiltered passes, the combined sample variance, the estimated variance of the sample variance and the buffer variance. */ + /* Get the A/B unfiltered passes, the combined sample variance, the estimated variance of the + * sample variance and the buffer variance. */ functions.divide_shadow(*unfiltered_a, *unfiltered_b, *sample_var, *sample_var_var, *buffer_var); - /* Smooth the (generally pretty noisy) buffer variance using the spatial information from the sample variance. */ + /* Smooth the (generally pretty noisy) buffer variance using the spatial information from the + * sample variance. */ nlm_state.set_parameters(6, 3, 4.0f, 1.0f, false); functions.non_local_means(*buffer_var, *sample_var, *sample_var_var, *filtered_var); /* Reuse memory, the previous data isn't needed anymore. */ device_ptr filtered_a = *buffer_var, filtered_b = *sample_var; - /* Use the smoothed variance to filter the two shadow half images using each other for weight calculation. */ + /* Use the smoothed variance to filter the two shadow half images using each other for weight + * calculation. */ nlm_state.set_parameters(5, 3, 1.0f, 0.25f, false); functions.non_local_means(*unfiltered_a, *unfiltered_b, *filtered_var, filtered_a); functions.non_local_means(*unfiltered_b, *unfiltered_a, *filtered_var, filtered_b); |