Les Inscriptions à la Bibliothèque sont ouvertes en
ligne via le site: https://biblio.enp.edu.dz
Les Réinscriptions se font à :
• La Bibliothèque Annexe pour les étudiants en
2ème Année CPST
• La Bibliothèque Centrale pour les étudiants en Spécialités
A partir de cette page vous pouvez :
Retourner au premier écran avec les recherches... |
Détail de l'auteur
Auteur Hasan F. Ates
Documents disponibles écrits par cet auteur
Affiner la rechercheHierarchical quantization indexing for wavelet and wavelet packet image coding / Hasan F. Ates in Signal processing. Image communication, Vol. 25 N° 2 (02 EX.) (Février 2010)
[article]
in Signal processing. Image communication > Vol. 25 N° 2 (02 EX.) (Février 2010) . - pp. 111-120
Titre : Hierarchical quantization indexing for wavelet and wavelet packet image coding Type de document : texte imprimé Auteurs : Hasan F. Ates, Auteur ; Engin Tamer, Auteur Année de publication : 2010 Article en page(s) : pp. 111-120 Note générale : Electronique Langues : Anglais (eng) Mots-clés : Image coding Wavelets Wavelet packets Classification Hierarchy Index. décimale : 621.382 Dispositifs électroniques utilisant les effets des corps solides. Dispositifs semi-conducteurs Résumé : In this paper, we introduce the quantization index hierarchy, which is used for efficient coding of quantized wavelet and wavelet packet coefficients.
A hierarchical classification map is defined in each wavelet subband, which describes the quantized data through a series of index classes.
Going from bottom to the top of the tree, neighboring coefficients are combined to form classes that represent some statistics of the quantization indices of these coefficients.
Higher levels of the tree are constructed iteratively by repeating this class assignment to partition the coefficients into larger subsets.
The class assignments are optimized using a rate-distortion cost analysis.
The optimized tree is coded hierarchically from top to bottom by coding the class membership information at each level of the tree.
Context-adaptive arithmetic coding is used to improve coding efficiency.
The developed algorithm produces PSNR results that are better than the state-of-art wavelet-based and wavelet packet-based coders in literature.DEWEY : 361.382 ISSN : 0923-5965 En ligne : http://www.sciencedirect.com/science?_ob=PublicationURL&_tockey=%23TOC%235640%23 [...] [article] Hierarchical quantization indexing for wavelet and wavelet packet image coding [texte imprimé] / Hasan F. Ates, Auteur ; Engin Tamer, Auteur . - 2010 . - pp. 111-120.
Electronique
Langues : Anglais (eng)
in Signal processing. Image communication > Vol. 25 N° 2 (02 EX.) (Février 2010) . - pp. 111-120
Mots-clés : Image coding Wavelets Wavelet packets Classification Hierarchy Index. décimale : 621.382 Dispositifs électroniques utilisant les effets des corps solides. Dispositifs semi-conducteurs Résumé : In this paper, we introduce the quantization index hierarchy, which is used for efficient coding of quantized wavelet and wavelet packet coefficients.
A hierarchical classification map is defined in each wavelet subband, which describes the quantized data through a series of index classes.
Going from bottom to the top of the tree, neighboring coefficients are combined to form classes that represent some statistics of the quantization indices of these coefficients.
Higher levels of the tree are constructed iteratively by repeating this class assignment to partition the coefficients into larger subsets.
The class assignments are optimized using a rate-distortion cost analysis.
The optimized tree is coded hierarchically from top to bottom by coding the class membership information at each level of the tree.
Context-adaptive arithmetic coding is used to improve coding efficiency.
The developed algorithm produces PSNR results that are better than the state-of-art wavelet-based and wavelet packet-based coders in literature.DEWEY : 361.382 ISSN : 0923-5965 En ligne : http://www.sciencedirect.com/science?_ob=PublicationURL&_tockey=%23TOC%235640%23 [...]