Abstract:

We propose a mixed denoising algorithm based on sparse representation and prior knowledge of noise distribution. The proposed algorithm utilizes the Adaptive Median Filter (AMF) to initialize and analyze the prior knowledge of noise distribution, and adaptively weight the sparse representation atom vector at the stage of sparse coding. Then, the selection threshold is adaptively adjusted by the extreme value of the current set of atoms so as to do selective elimination on atoms. Because of a avoidance of the traditional twophase mixed denoising strategy, the proposed algorithm gains much better PSNR and faster speed.

Key words: mixed denoise;sparse representation;adaptive median filter;weighted atoms