Warm Start of Multi-channel Weighted Nuclear Norm Minimization for Color Image Denoising.

The multi-channel weighted nuclear norm minimization (MCWNNM) performs excellently on color image denoising. Can we further improve the effectiveness of MCWNNM? To answer this question, we propose warm start of multi-channel weighted nuclear norm minimization (WS-MCWNNM) for color image denoising. In WS-MCWNNM, spatial filtering is utilized to preprocess the noisy image, and the result of preprocessing is treated as the input of MCWNNM model to remove noise. Experiment results show the proposed WS-MCWNNM outperforms MCWNNM both on peak signal-to-noise ratio and structural similarity. [ABSTRACT FROM AUTHOR]