New approach based on Shapiro's embedded zero-tree wavelet algorithm for image compression

A. Ouafi; Z. Baarir; Abdelmalik Taleb-Ahmed; N. Doghmane; A. Zitouni

doi:10.1117/1.2747590

1 July 2007 New approach based on Shapiro's embedded zero-tree wavelet algorithm for image compression

A. Ouafi, Z. Baarir, Abdelmalik Taleb-Ahmed, N. Doghmane, A. Zitouni

Author Affiliations +

Optical Engineering, Vol. 46, Issue 7, 077008 (July 2007). https://doi.org/10.1117/1.2747590

Abstract

We propose a new approach to image compression based on the principle of Shapiro's embedded zero-tree wavelet (EZW) algorithm. Our approach, the efficient EZW (E-EZW), uses six symbols instead of the four used in the original Shapiro's algorithm to minimize the redundant symbols, and optimizes the coding by binary regrouping of the information. This approach can produce results that have a significant improvement over the peak signal-to-noise ratio and compression ratio obtained by Shapiro without affecting the computing time. These results are also comparable to those obtained using the set partitioning in hierarchical trees (SPIHT), set partitioning embedded block (SPECK), and JPEG2000 algorithms.

©(2007) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

A. Ouafi, Z. Baarir, Abdelmalik Taleb-Ahmed, N. Doghmane, and A. Zitouni "New approach based on Shapiro's embedded zero-tree wavelet algorithm for image compression," Optical Engineering 46(7), 077008 (1 July 2007). https://doi.org/10.1117/1.2747590

Published: 1 July 2007

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