By Topic

Multiple-valued and spectral approach to lossless compression of binary, gray scale and color biomedical images

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Falkowski, B.J. ; Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore ; Olejnicka, B.T.

In this paper, we propose a new method based on multiple-valued functions and spectral analysis for the lossless compression of binary, gray scale and color biomedical images. Preprocessing of the raw image data is first applied to make the data more amenable for compression. The preprocessed image is then segmented into blocks to which various coding and compression is applied. Detailed description of segmentation and compression schemes is presented. The proposed scheme has been implemented in the C language and compared with other state-of-the-art techniques. Experimental results indicate significant improvements in compression ratios

Published in:

Multiple-Valued Logic, 2002. ISMVL 2002. Proceedings 32nd IEEE International Symposium on

Date of Conference:

2002