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.

module controls

patch size
The radius of the patch used for similarity evaluation.
strength
The strength of the denoising.
luma
The amount of denoising to apply to luma. Select carefully in order not to lose too much structure.
chroma
The amount of denoising to apply to chroma. You can be much more aggressive with this parameter.