A restoration algorithm for estimating lossy compressed images that are corrupted by data-dependent Poisson noise is presented. The algorithm is based on modeling the image as a Markov random field (MRF) that penalizes the blocking artifact. The effectiveness of the proposed algorithm is illustrated using synthetic and real images.
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