Salt and pepper noise removal method based on stationary Framelet transform with non-convex sparsity regularization. (arXiv:2110.09113v5 [eess.IV] UPDATED)

Salt and pepper noise removal is a common inverse problem in image
processing. Traditional denoising methods have two limitations. First, noise
characteristics are often not described accurately. For example, the noise
location information is often ignored and the sparsity of the salt and pepper
noise is often described by L1 norm, which cannot illustrate the sparse
variables clearly. Second, conventional methods separate the contaminated image
into a recovered image and a noise part, thus resulting in recovering an image
with …

arxiv noise sparsity