Image Denoising Based on Nonsubsampled Contourlet Transform and Bivariate Model
基于非下采样Contourlet变换和双变量模型的图像去噪

This paper proposes a new image denoising method based on the NonsubSampled Contourlet Transform(NSCT) and the bivariate model under the framework of Bayesian MAP estimation theory. The proposed algorithm uses the NSCT's advantages of translation-invariant and multidirection-selectivity,exploits the intra-scale and inter-scale correlations of NSCT coefficients,and elaborates the method of noise estimation. Compared with some current outstanding denoising methods,the simulation results and analysis show that...