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Enhancement of medical image compression by using threshold predicting wavelet-based algorithm

Md Taujuddin, Nik Shahidah Afifi and Ibrahim, Rosziati (2014) Enhancement of medical image compression by using threshold predicting wavelet-based algorithm. In: Lect. Notes Electrical Eng, Advance Computer and Communication Technology. Springer International Publishing, pp. 755-765. ISBN 978-3-319-07673-7

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Abstract

In recent decades with the rapid development in biomedical engi-neering, digital medical images have been becoming increasingly important in hospitals and clinical environment. Apparently, traversing medical images be-tween hospitals need a complicated process. Many techniques have been devel-oped to resolve these problems. Compressing an image will reduces the amount of redundant data with the good quality of the reproduced image sufficiently high, depending on the application. In the case of medical images, it is im-portant to reproduce the image close to the original image so that even the smallest details readable. The aim of this paper is to reveal our new proposed compression algorithm. It started by segmenting the image area into Region of Interest (ROI) and Region of Background (ROB) and use the special features provide by wavelet algorithm to produce efficient coefficients. These coeffi-cients is then will be thresholded by using our new proposed thresholding pre-dicting algorithm. This still under-going project is expected to produce a fast compression algorithm besides decreasing the image size without tolerating with the precision of image quality.

Item Type: Book Section
Uncontrolled Keywords: wavelet; hard threshold; soft threshold; image compression
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA1501-1820 Applied optics. Photonics
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics
Divisions: Faculty of Electrical and Electronic Engineering > Department of Computer Engineering
Depositing User: Normajihan Abd. Rahman
Date Deposited: 23 Dec 2014 08:26
Last Modified: 23 Dec 2014 08:34
URI: http://eprints.uthm.edu.my/id/eprint/6242
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