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Article Dans Une Revue Journal of Electronic Imaging Année : 2015

Color graph based wavelet transform with perceptual information

Mohamed Malek
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David Helbert
SIC
Philippe Carré
SIC

Résumé

In this paper, 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 in computing the graph of an image using the psychovisual information and analysing 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 means 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. Therefore results in image restoration highlight the interest of the appropriate use of color information.
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Dates et versions

hal-01174338 , version 1 (16-10-2015)

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Mohamed Malek, David Helbert, Philippe Carré. Color graph based wavelet transform with perceptual information. Journal of Electronic Imaging, 2015, 24 (5), pp.053004. ⟨10.1117/1.JEI.24.5.053004⟩. ⟨hal-01174338⟩
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