Multiresolution Image Denoising via Bayesian Estimator
Hu Zhan · Dianzi xuebao · 2002
The wavelet subband coefficients of images have highly non Gaussian statistics that may be modeled with generalized Laplacian distributions,and Bayesian estimation is used to suppress noise.Because the wavelet transform is orthonormal,noises in wavelet coefficients of images corrupted by additive white Gaussian noises are also Gaussian and white,and performance of denoising via Bayesian estimator based on orthogonal wavelet transform is excellent.