A method of image denoising in the complex wavelet domain

In this paper, a new shrink theory and denoising algorithm for image with Gaussian noise based on complex wavelet transform is presented and investigated. We calculate threshold value by a moving window, we can obtain different threshold values for different coefficients using our method. We modify the noisy wavelet coefficients using bivariate shrinkage method, the shrinkage functions do not assume the independence of decompositional coefficients. In this paper, we propose the use of near-optimal thresholds and more suitable image denoising by using extensive numerical simulations.