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LOSSY IMAGE COMPRESSION USING A THREE STEP NONLINEAR WAVELET

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Název: LOSSY IMAGE COMPRESSION USING A THREE STEP NONLINEAR WAVELET
Autoři: TERKI, NADJIBA., BENTRAH, WAFA., SAIGAA, DJAMEL.
Přispěvatelé: université de biskra
Zdroj: Courrier du Savoir; Vol. 12 (2012): Courrier du Savoir ; 1112-3338
Informace o vydavateli: Université de Biskra
Rok vydání: 2014
Sbírka: Biskra University Journals
Témata: Nonlinear wavelet, lifting schemes, lossy image compression, bit allocation algorithm, uniform quantization
Popis: The wavelet transform is a powerful and complex tool in the context of data compression. The discovery of the lifting schemes structure make à wavelet filters simple, rapid and reversible. The compression field is an open research area. In recent years, a significant development has experienced leading to the emergence of a large number of applications. This work aims to study some adaptive nonlinear wavelet -developed recently- based on three nonlinear steps. These transforms are applied in lossy image compression; in our work, we used a bit allocation algorithm and scalar quantization.
Druh dokumentu: article in journal/newspaper
Popis souboru: application/pdf
Jazyk: French
Relation: https://revues.univ-biskra.dz/index.php/cds/article/view/447/414
Dostupnost: https://revues.univ-biskra.dz/index.php/cds/article/view/447
Přístupové číslo: edsbas.25A4AF1D
Databáze: BASE
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  Data: LOSSY IMAGE COMPRESSION USING A THREE STEP NONLINEAR WAVELET
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  Data: université de biskra
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  Data: Courrier du Savoir; Vol. 12 (2012): Courrier du Savoir ; 1112-3338
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  Data: The wavelet transform is a powerful and complex tool in the context of data compression. The discovery of the lifting schemes structure make à wavelet filters simple, rapid and reversible. The compression field is an open research area. In recent years, a significant development has experienced leading to the emergence of a large number of applications. This work aims to study some adaptive nonlinear wavelet -developed recently- based on three nonlinear steps. These transforms are applied in lossy image compression; in our work, we used a bit allocation algorithm and scalar quantization.
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      – SubjectFull: lifting schemes
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      – SubjectFull: lossy image compression
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      – SubjectFull: bit allocation algorithm
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      – SubjectFull: uniform quantization
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