Remove image noise while preserving structure.
This is accomplished by averaging each pixel with some surrounding pixels in the image. The weight of such a pixel in the averaging process depends on the similarity of its neighborhood with the neighborhood of the pixel being denoised. A patch with a defined size is used to measure that similarity.
As denoising is a resource-intensive process, it slows down pixelpipe processing significantly. Consider activating this module late in your workflow.
- patch size
- The radius of the patch used for similarity evaluation.
- The strength of the denoising.
- The amount of denoising to apply to luma. Select carefully in order not to lose too much structure.
- The amount of denoising to apply to chroma. You can be much more aggressive with this parameter.