A GUI system for region-based image compression using Principal Component Analysis

Lim, Sim Ting and Yap, David F. W. and Manap, N. A. (2015) A GUI system for region-based image compression using Principal Component Analysis. In: 2014 International Conference on Computational Science and Technology, ICCST 2014. IEEE, pp. 1-4. ISBN 978-147993241-2

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Abstract

Medical image compression has received great attention due to its increasing need to reduce the image size without compromising the diagnostically important medical information exhibited on the image. Region-based image compression based on Principal Component Analysis (PCA) has not widely been studied. Hence, in this paper, a GUI system that investigates the efficiency of the region-based compression was proposed. In this system, the user is able to trace the desired ROI on the image and the particular ROI selected will be preserved. From this work, it is found that region-based PCA performs better than PCA algorithm in terms of image quality, yielding comparable compression ratio as the PCA algorithm. The GUI system works as a user-friendly tool to compress the image upon the choice of the user to select the ROI and the compression range.

Item Type: Book Section
Additional Information: 2014 International Conference on Computational Science and Technology, ICCST 2014; Kota Kinabalu, Sabah; Malaysia; 27 August 2014 through 28 August 2014
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 14 Apr 2015 03:07
Last Modified: 15 Apr 2015 02:35
URI: http://shdl.mmu.edu.my/id/eprint/6181

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