WAVELET-BASED MEDICAL IMAGE COMPRESSION USING EZW: OBJECTIVE AND SUBJECTIVE EVALUATIONS

Author:

LOW YIN FEN12,BESAR ROSLI1

Affiliation:

1. Faculty of Engineering and Technology, Multimedia University (Malacca Campus), Jalan Ayer Keroh Lama, 75450 Bukit Beruang, Malacca, Malaysia

2. Faculty of Electronics and Computer Engineering, National Technical University College of Malaysia, Locked Beg 1200, Ayer Keroh 75450, Malacca, Malaysia

Abstract

Recently, the wavelet transform has emerged as a cutting edge technology within the field of image compression research. Wavelet methods involve overlapping transforms with varying-length basis functions. This overlapping nature of the transform alleviates blocking artifacts, while the multi-resolution character of the wavelet decomposition leads to superior energy compaction and perceptual quality of the decompressed image. Embedded zerotree wavelet (EZW) coder is the first algorithm to show the full power of wavelet-based image compression. The main purpose of this paper is to investigate the impact and quality of orthogonal wavelet filter in compressing medical image by using EZW. Meanwhile, we also look into the effect of the level of wavelet decomposition towards compression efficiency. The wavelet filters used are Haar and Daubechies. The compression simulations are done on three modalities of medical images. The objective (based on PSNR) and subjective (perceived image quality) results of these simulations are presented.

Publisher

World Scientific Pub Co Pte Lt

Subject

Biomedical Engineering

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Secured medical image compression using DES encryption technique in Bandelet multiscale transform;International Journal of Wavelets, Multiresolution and Information Processing;2018-07

2. NON-INVASIVE TECHNIQUE FOR IN VIVO HUMAN EAR CANAL VOLUME MEASUREMENT;Journal of Mechanics in Medicine and Biology;2012-09

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