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Perceptual image representation

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MANCAS, Matei [FPMs] Gosselin, Bernard [FPMs] Macq, Benoît [UCL]

This paper describes a rarity-based visual attention model working on both still images and video sequences. Applications of this kind of models are numerous and we focus on a perceptual image representation which enhances the perceptually important areas and uses lower resolution for perceptually less important regions. Our aim is to provide an approximation of human perception by visualizing its gradual discovery of the visual environment. Comparisons with classical methods for visual attention show that the proposed algorithm is well adapted to anisotropic filtering purposes. Moreover, it has a high ability to preserve perceptually important areas as defects or abnormalities from an important loss of information. High accuracy on low-contrast defects and scalable real-time video compression may be some practical applications of the proposed image representation.

Document type Article de périodique (Journal article)
Access type Accès restreint
Publication date 2007
Language Anglais
Journal information "Journal on Image Video Processing" - Vol. 2007, no. issue 2, p. 3-3 (August 2007)
Peer reviewed yes
Publisher Hindawi Publishing Corp. (New York, NY, United States )
issn 1687-5176
e-issn 1687-5281
Publication status Publié
Affiliations FPMs - Théorie des circuits et traitement du Signal lab.
UCL - FSA/ELEC - Département d'électricité
Keywords SIGN
Links
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Bibliographic reference MANCAS, Matei ; Gosselin, Bernard ; Macq, Benoît. Perceptual image representation. In: Journal on Image Video Processing, Vol. 2007, no. issue 2, p. 3-3 (August 2007)
Permanent URL http://hdl.handle.net/2078.1/90736