Perceptual Image Representation. (10th September 2007)

• Record Type: Journal Article
• Authors: Mancas, Matei; Gosselin, Bernard; Macq, Benoît
• Other Names: Guan Ling Academic Editor.
• Is Part Of: EURASIP journal on image and video processing. Volume 2007(2007)
• Publication Date: 2007-09-10
• Subjects: Image processing -- Digital techniques -- Periodicals; Digital video -- Periodicals; Traitement d'images; Vidéo numérique; Digital video; Image processing -- Digital techniques; Periodicals; Electronic journal; Electronic journals; 621.367
• DOI: 10.1155/2007/98181
• Languages: English
• ISSNs: 1687-5176

Abstract

Abstract : 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.