![]() Filter the result with NLM enhanced, learn radius 16.Using colorspace YCbCr or CIELab, apply DWT (soft) or CWT (soft) on the color channels Cb,Cr or a,b.For images with color noise or highly compressed jpeg, the workflow could be:.Take into account that hard threshold blur less than soft threshold but are more prone to artifacts. If the result shows grain near edges or in plain areas, filter it with CWT (hard/soft) with low noise sigma.NLM enhanced, learn radius 16 and sigma over 20.For high noise images without color noise, use a two step workflow:.NLM enhanced, learn radius 16 and sigma up to 20.For low/medium noise images try with one of the following:.For images with only low intensity noise test:. ![]() Until there is a real tutorial, lets suggest a workflow for the usual target, noise free image with minimum blur. Noise removal is a complex subject, as it is the noise in a image.
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