Abstract
We have proposed the L1-L2 and L2-L2 color-shrinkage schemes, and have shown that the application of the color-shrinkage schemes to color-image denoising in a redundant wavelet transform domain achieves excellent denoising performance. This paper presents how to derive the color-shrinkage schemes, their iterative update algorithms and their convergence characteristics, the improvement of denoising performance by utilizing the ML estimates of signal variance. Moreover, this paper shows the result of denoising simulations conducted on noisy color-images contaminated with signal-dependent noise equivalent to ISO1600 and/or ISO6400, and demonstrates the superiority of our proposed denoising methods over the existing methods.