Statistical image restoration based on adaptive wavelet models

In this paper, we propose image restoration algorithms based on adaptive wavelet?domain statistical models. We present a method to estimate the model parameters from the observations, and solve the restoration problem in orthonormal and translation-invariant wavelet domains. Substantial improvements over previous wavelet?based restoration methods are obtained. The use of a translation-invariant basis further enhances the restoration performance.

• Type: Conference
• Year: 2001
• Where: ICIP
• Authors: Juan Liu, Pierre Moulin
• Keywords: ICIP 2001, Image Processing, Image Restoration Algorithms, Restoration Performance, Restoration Problem