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Journal of Electronic Imaging

Color graph based wavelet transform with perceptual information
Author(s): Mohamed Malek; David Helbert; Philippe Carré
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Paper Abstract

We propose a numerical strategy to define a multiscale analysis for color and multicomponent images based on the representation of data on a graph. Our approach consists of computing the graph of an image using the psychovisual information and analyzing it by using the spectral graph wavelet transform. We suggest introducing color dimension into the computation of the weights of the graph and using the geodesic distance as a mean of distance measurement. We thus have defined a wavelet transform based on a graph with perceptual information by using the CIELab color distance. This new representation is illustrated with denoising and inpainting applications. Overall, by introducing psychovisual information in the graph computation for the graph wavelet transform, we obtain very promising results. Thus, results in image restoration highlight the interest of the appropriate use of color information.

Paper Details

Date Published: 3 September 2015
PDF: 13 pages
J. Electron. Imaging. 24(5) 053004 doi: 10.1117/1.JEI.24.5.053004
Published in: Journal of Electronic Imaging Volume 24, Issue 5
Show Author Affiliations
Mohamed Malek, Univ. de Poitiers (France)
David Helbert, Univ. de Poitiers (France)
Philippe Carré, Univ. of Poitiers (France)


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