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A comparative analysis on the wavelet-based image compression techniques

Md Taujuddin, Nik Shahidah Afifi and Ibrahim, Rosziati (2013) A comparative analysis on the wavelet-based image compression techniques. Journal of Computer Science and Engineering, 21 (1). ISSN 2093-9091

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Abstract

As the coming era of digitized image information, it is critical to produce high compression performance while minimizing the amount of image data so the data can be stored effectively. Compression using wavelet algorithm is one of the indispensable techniques to solve this problem. The Wavelet Algorithm contains transformation process, quantization process, and lossy entropy coding. Wavelets are functions which allow data analysis of signals or images, according to scales or resolutions and it provides a powerful and remarkably flexible set of tools for handling fundamental problems in science and engineering, such signal compression, image de-noising, image enhancement and image recognition. The aim of this paper is to compare the image quality by using 4 wavelet-based image compression techniques; namely Set Partitioning In Hierarchical Trees (SPIHT), Embedded Zerotree Wavelet (EZW), Wavelet Difference Reduction (WDR) and Adaptively Scanned Wavelet Difference Reduction (ASWDR). While for analysis, Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE), Compression Ratio (CR) and Bit Per Pixels (BPP) analysis are used. From the obtained results, it shows that WDR outperform in terms of compression efficiency.

Item Type: Article
Uncontrolled Keywords: wavelets; SPIHT; EZW; WDR; ASWDR
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA1501-1820 Applied optics. Photonics
Divisions: Faculty of Electrical and Electronic Engineering > Department of Computer Engineering
Depositing User: Normajihan Abd. Rahman
Date Deposited: 23 Dec 2014 08:36
Last Modified: 23 Dec 2014 08:36
URI: http://eprints.uthm.edu.my/id/eprint/6241
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