Anisotropic wavelet thresholding for Bayesian image denoising

A new technique for noise suppression in images by wavelet thresholding is presented. The technique focuses on perceptual relevant features, using a multiscale edge oriented wavelet representation. A orientation-dependent zero-memory non-linear soft thresholding rule is defined in the framework of Bayesian MMSE estimation.