A Modified Embedded Zerotree Wavelet (MEZW) Algorithm for Image Compression

In this paper, we propose a modification of the Shapiro’s Embedded Zerotree Wavelet (EZW) algorithm. Our approach, called Modified EZW (MEZW), distributes entropy differently than Shapiro’s by using six instead of four symbols used in EZW and also optimizes the coding by a binary grouping of element...

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Published in:Journal of mathematical imaging and vision 2008-03, Vol.30 (3), p.298-307
Main Authors: Ouafi, A., Taleb Ahmed, A., Baarir, Z., Zitouni, A.
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Language:English
Subjects:
Applications of Mathematics
Computer Science
Image Processing and Computer Vision
Mathematical Methods in Physics
Signal,Image and Speech Processing
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description In this paper, we propose a modification of the Shapiro’s Embedded Zerotree Wavelet (EZW) algorithm. Our approach, called Modified EZW (MEZW), distributes entropy differently than Shapiro’s by using six instead of four symbols used in EZW and also optimizes the coding by a binary grouping of elements before coding. This approach can produce results that are a significant improvement on the PSNR and compression ratio obtained by Shapiro, without affecting the computing time. These results are also comparable with those obtained using the SPIHT and SPECK algorithms.
doi_str_mv 10.1007/s10851-007-0057-y
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subjects Applications of Mathematics
Computer Science
Image Processing and Computer Vision
Mathematical Methods in Physics
Signal,Image and Speech Processing
title A Modified Embedded Zerotree Wavelet (MEZW) Algorithm for Image Compression
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