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.
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Bruni, V., Rossi, E., Vitulano, D. (2011). Optimal Image Restoration Using HVS-Based Rate-Distortion Curves. In: Real, P., Diaz-Pernil, D., Molina-Abril, H., Berciano, A., Kropatsch, W. (eds) Computer Analysis of Images and Patterns. CAIP 2011. Lecture Notes in Computer Science, vol 6855. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23678-5_31
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DOI: https://doi.org/10.1007/978-3-642-23678-5_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23677-8
Online ISBN: 978-3-642-23678-5
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