Embedded Lossless Medical Image Compression with Wavelet Transform
Author:
Aziz Ur Rahaman Makandar1 and K. Karibasappa2
Affiliation:
1Department of Computer Science K S W University , Bijapur ,Karnatka India
2Department of Computer Science and Engg , Banglor , Karnataka India
E.mail azizmakandar@gmail.com
Keyword:
lossless, image coding, EZW, wavelet.
Issue Date:
April 2010
Abstract:
The wavelet transform has emerged as a cutting edge technology, within the field of image compression research. Wavelet theory and subband coding have created a surge of interest in wavelet based applications during the past decade. Image coding (or compression)is an important application that has benefited significantly from the wavelet theory. Lossless image coding using the Embedded Zerotree Wavelet (EZW) is the main focus of this work and also in the sequel to this work. The main purpose of this paper is to investigate the impact and quality of orthogonal wavelet filter for EZW. Meanwhile, we also look into the effect of the level of wavelet decomposition towards compression efficiency. The wavelet filters used are Haar and Dauhechies 4. The experimental results have been compared and qualitative analysis is done on the basis of time taken for compression & error after decompression for medical images.
Pages:
ISSN:
2455-9997 (Online) - 2229-3531 (Print)
Source:
DOI:
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Available from: http://www.compitjournal.org/paper/315/
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