Signal processing. Image communication : theory, techniques & applications, Vol. 25 N° 1. Signal processing. Image communication - Janvier 2010
| Titre : | Signal processing. Image communication : theory, techniques & applications, Vol. 25 N° 1. Signal processing. Image communication - Janvier 2010 |
| Type de document : | Bulletin |
| Paru le : | 16/09/2012 |
Dépouillements
Article : texte imprimé
S. Har-Noy, Auteur ;
E. Martinez, Auteur ;
T. Q. Nguyen, Auteur
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In the past several years much attention has been placed on improving the motion picture quality of liquid crystal displays (LCDs). One pervasive problem is motion blur which occurs due to the inherent sample-and-hold nature of LCD image formati[...]
Article : texte imprimé
Han-Min Tsai, Auteur ;
Long-Wen Chang, Auteur
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This paper proposes a secure reversible visible watermarking approach. The proposed pixel mapping function superposes a binary watermark image on a host image to create an intermediate visible watermarked image. Meanwhile, an almost inverse func[...]
Article : texte imprimé
Fei Li, Auteur ;
Qionghai Dai, Auteur ;
Wenli Xu, Auteur
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We address the task of view-based 3D object retrieval, in which each object is represented by a set of views taken from different positions, rather than a geometrical model based on polygonal meshes. As the number of views and the view point set[...]
Article : texte imprimé
An Vo, Auteur ;
Soontorn Oraintara, Auteur
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In this paper, we develop a new approach which exploits the probabilistic properties from the phase information of 2-D complex wavelet coefficients for image modeling. Instead of directly using phases of complex wavelet coefficients, we demonstr[...]
Article : texte imprimé
Xiaopeng Fan, Auteur ;
Oscar C. Au, Auteur ;
Ngai Man Cheung, Auteur
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Wyner–Ziv coding enables low complexity video encoding with the motion estimation procedure shifted to the decoder. However, the accuracy of decoder motion estimation is often low, due to the absence of the input source frame (at the decoder). I[...]
Article : texte imprimé
Marco Cagnazzo, Auteur ;
Marc Antonini, Auteur ;
Michel Barlaud, Auteur
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Context-based lossless coding suffers in many cases from the so-called context dilution problem, which arises when, in order to model high-order statistic dependencies among data, a large number of contexts is used. In this case the learning pro[...]
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