Abstract
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. © 2011 Springer-Verlag.
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CITATION STYLE
Bruni, V., Rossi, E., & Vitulano, D. (2011). Optimal image restoration using HVS-based rate-distortion curves. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6855 LNCS, pp. 269–276). https://doi.org/10.1007/978-3-642-23678-5_31
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