A new, enhanced EZW image codec with subband classification

Brahimi, Tahar, Khelifi, Fouad, Laouir, Farid and Kacha, Abdellah (2022) A new, enhanced EZW image codec with subband classification. Multimedia Systems, 28 (1). pp. 1-19. ISSN 0942-4962

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Official URL: https://doi.org/10.1007/s00530-021-00781-x


In this paper, an enhanced version of Embedded zerotree wavelet (EZW) image coding algorithm is proposed, referred to as EZW-SC. By exploiting a new principle that relies on a subband classification concept, the enhanced algorithm allows the prediction of insignificant subbands at early passes, along with the use of an improved significance map. This reduces the redundancy of zerotree symbols, speeds up the coding process and improves the coding of significant coefficients. In fact, the EZW-SC algorithm scans only significant subbands and significantly improves the lossy compression performance with the conventional EZW. Moreover, new EZW-based schemes are presented to perform colour image coding by taking advantage of the interdependency of the colour components. Experimental results show clear superiority of the proposed algorithms over the conventional EZW as well as other related EZW schemes at various bit rates in both greyscale and colour image compression.

Item Type: Article
Uncontrolled Keywords: Embedded image coding, Zeotree coding, Wavelet compression
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: John Coen
Date Deposited: 11 Jun 2021 08:11
Last Modified: 20 Apr 2022 03:31
URI: http://nrl.northumbria.ac.uk/id/eprint/46420

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