2011 | OriginalPaper | Buchkapitel
Optimal Image Restoration Using HVS-Based Rate-Distortion Curves
verfasst von : Vittoria Bruni, Elisa Rossi, Domenico Vitulano
Erschienen in: Computer Analysis of Images and Patterns
Verlag: Springer Berlin Heidelberg
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This paper proves that the Jensen-Shannon Divergence (JSD) is a good information theory measure of the visibility cost of a degraded region in a pictorial scene. Hence, it can be combined with Michelson contrast for building a visual rate-distortion curve. The latter allows to optimize parameters of restoration algorithms. Some results on both synthetic and real data show the potential of the proposed approach.