No-Reference perceptual quality assessment of colour image

Abstract : Image quality assessment plays an important role in various image processing applications. In recent years, some objective image quality metrics correlated with perceived quality measurement have been developed. Two categories of metrics can be distinguished: with full-reference and noreference. Full-reference looks at decrease in image quality from some reference of ideal. No-reference approach attempts to model the judgment of image quality without the reference. Unfortunately, the universal image quality model is not on the horizon and empirical models establishes on psychophysical experimentation are generally used. In this paper, we present a new algorithm for quality assessment of colour reproduction based on human visual system modeling. A local contrast definition is used to assign quality scores. Finally, a good correlation is obtained between human evaluations and our method.
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Communication dans un congrès
EUSIPCO : European Signal Processing Conference, Sep 2006, Italy. pp.0-5, 2006
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https://hal.archives-ouvertes.fr/hal-00493608
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Soumis le : dimanche 20 juin 2010 - 15:38:23
Dernière modification le : jeudi 25 novembre 2010 - 19:00:03

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  • HAL Id : hal-00493608, version 1
  • Mot de passe : 6vlm25

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Benjamin Bringier, Noël Richard, Mohamed-Chaker Larabi, Christine Fernandez-Maloigne. No-Reference perceptual quality assessment of colour image. EUSIPCO : European Signal Processing Conference, Sep 2006, Italy. pp.0-5, 2006. 〈hal-00493608〉

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