Morphological dilation image coding with context weights prediction / Jiaji Wu in Signal processing. Image communication, Vol. 25 N° 10 (Novembre 2010)  

Public ISBD [article]  inSignal processing. Image communication > Vol. 25 N° 10 (Novembre 2010) . - pp. 717–728 Titre : Morphological dilation image coding with context weights prediction Type de document : texte imprimé Auteurs : Jiaji Wu, Auteur ; Anand Paul, Auteur ; Yan Xing, Auteur Année de publication : 2012 Article en page(s) : pp. 717–728 Note générale : Electronique Langues : Anglais (eng) Mots-clés : Quad-tree coding Morphological dilation Variable-length group test Weights training Résumé : This paper proposes an adaptive morphological dilation image coding with context weights prediction. The new dilation method is not to use fixed models, but to decide whether a coefficient needs to be dilated or not according to the coefficient’s predicted significance degree. It includes two key dilation technologies: (1) controlling dilation process with context weights to reduce the output of insignificant coefficients and (2) using variable-length group test coding with context weights to adjust the coding order and cost as few bits as possible to present the events with large probability. Moreover, we also propose a novel context weight strategy to predict a coefficient’s significance degree more accurately, which can be used for two dilation technologies. Experimental results show that our proposed method outperforms the state of the art image coding algorithms available today. ISSN : 0923-5965 En ligne : http://www.sciencedirect.com/science/article/pii/S0923596510001104 [article] Morphological dilation image coding with context weights prediction [texte imprimé] / Jiaji Wu, Auteur ; Anand Paul, Auteur ; Yan Xing, Auteur . - 2012 . - pp. 717–728. Electronique Langues : Anglais (eng) in Signal processing. Image communication > Vol. 25 N° 10 (Novembre 2010) . - pp. 717–728 Mots-clés : Quad-tree coding Morphological dilation Variable-length group test Weights training Résumé : This paper proposes an adaptive morphological dilation image coding with context weights prediction. The new dilation method is not to use fixed models, but to decide whether a coefficient needs to be dilated or not according to the coefficient’s predicted significance degree. It includes two key dilation technologies: (1) controlling dilation process with context weights to reduce the output of insignificant coefficients and (2) using variable-length group test coding with context weights to adjust the coding order and cost as few bits as possible to present the events with large probability. Moreover, we also propose a novel context weight strategy to predict a coefficient’s significance degree more accurately, which can be used for two dilation technologies. Experimental results show that our proposed method outperforms the state of the art image coding algorithms available today. ISSN : 0923-5965 En ligne : http://www.sciencedirect.com/science/article/pii/S0923596510001104

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