Title :
Statistical image restoration based on adaptive wavelet models
Author :
Liu, Juan ; Moulin, Pierre
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
Abstract :
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
Keywords :
adaptive estimation; image restoration; parameter estimation; statistical analysis; wavelet transforms; adaptive wavelet models; image restoration; model parameter estimation; performance; statistical models; translation-invariant basis; AWGN; Additive white noise; Degradation; Gaussian noise; Image restoration; Laplace equations; Noise reduction; Wavelet coefficients; Wavelet domain; Wavelet transforms;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958414
