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LOSSY IMAGE COMPRESSION USING A THREE STEP NONLINEAR WAVELET

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Bibliographic Details
Title: LOSSY IMAGE COMPRESSION USING A THREE STEP NONLINEAR WAVELET
Authors: TERKI, NADJIBA., BENTRAH, WAFA., SAIGAA, DJAMEL.
Contributors: université de biskra
Source: Courrier du Savoir; Vol. 12 (2012): Courrier du Savoir ; 1112-3338
Publisher Information: Université de Biskra
Publication Year: 2014
Collection: Biskra University Journals
Subject Terms: Nonlinear wavelet, lifting schemes, lossy image compression, bit allocation algorithm, uniform quantization
Description: 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.
Document Type: article in journal/newspaper
File Description: application/pdf
Language: French
Relation: https://revues.univ-biskra.dz/index.php/cds/article/view/447/414
Availability: https://revues.univ-biskra.dz/index.php/cds/article/view/447
Accession Number: edsbas.25A4AF1D
Database: BASE
Description
Abstract: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.