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The objective of this paper is to present a new image restoration algorithm. First, the image is classified in k categories. Then we assume that the gray levels in each category follow a NSHP autoregressive model. Robust estimation of the parameters of the model is considered to attenuate the effect of the image contamination on the parameters. In each iteration we will construct a new image using a robustified version of the residuals. The introduction of the classification techniques as adoi:10.1198/106186004x2183 fatcat:abjeavz4frgfdnncvzngucbfcy