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Optimal Image Restoration Using HVS-Based Rate-Distortion Curves

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Book cover Computer Analysis of Images and Patterns (CAIP 2011)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6855))

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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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Author information

Authors and Affiliations

  1. Dept. of SBAI, Faculty of Engineering, University of Rome ’Sapienza’, Via A. Scarpa 16, 00161, Rome, Italy

    Vittoria Bruni

  2. Istituto per le Applicazione del Calcolo ”M. Picone”, C.N.R., Via dei Taurini 19, 00185, Rome, Italy

    Elisa Rossi & Domenico Vitulano

Authors
  1. Vittoria Bruni
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  2. Elisa Rossi
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  3. Domenico Vitulano
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Editor information

Editors and Affiliations

  1. Dpto. Matematica Aplicada I, Escuaela Técnica Superior de Ingeniería Informática, Universite de Sevilla, Avda. Reina Mercedes, s/n, 41012, Sevilla, Spain

    Pedro Real

  2. Departamento de Matemática Aplicada I, Escuela Técnica Superior de Ingeniería Informática, University of Seville, Avenida Reina Mercedes s/n, 41012, Sevilla, Spain

    Daniel Diaz-Pernil  & Helena Molina-Abril  & 

  3. Departamento de Didáctica de la Mathemática y de las CC.Experimentales, Escuela Universitaria de, Universidad del País Vasco-Esukal Herriko Unibertsitatea, Ramón y Cajal, 72, 48014, Bilbao, (Bizcaia), Spain

    Ainhoa Berciano

  4. Institute of Computer Graphics and Algorithms, Pattern Recognition and Image Processing Group, Vienna University of Technology, Favoritenstraße 9/186-3, 1040, Vienna, Austria

    Walter Kropatsch

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© 2011 Springer-Verlag Berlin Heidelberg

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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

  • eBook Packages: Computer ScienceComputer Science (R0)

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