1 - Restauration des images multi-échelles par l'algorithme à trous

Abstract

The Discrete Wavelet Transform can be performed by several algorithms . Among them the A trous leads ta an extensive data redundancy . Thus this algorithm is not useful for data compression, but this redundancy can be a useful asset for image restoration, In this paper. we firstly describe the principles of the algorithm and some connected tools. Then we describe an iterative restoration method based on the significant coefficients . The regularization of the inversion is provided by the restriction of the numberofcoefficients . An example is given from the regularization of Richarson-Lucy's iterative deconvolution algorithm.