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Proceedings Paper

Medical image lossless compression for transmission of cross-limited bandwith channels
Author(s): Othman Omran Khalifa; Satnam Singh Dlay
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Paper Abstract

In this paper, we present the interpixel redundancy between the neighboring pixels and exploit the intensity similarities of the them in serial scan vectors of the images to develop a simple system for a lossless image compression scheme and show that the process is reversible. This algorithm is called Neighboring Zero Coding (NZC); it is based on the common characteristic of that imags as neighboring pixels are highly correlated. The proposed method is a kind of integration in the coding phase and it is a form of prediction in the decoding phase, it can integrate more than 65 percent of the image coefficient to zeros. The NZC method resulting in, on average, lossless compression to about 1.65 b/pixel from 8 bits with a different high-resolution digitized computed tomography and magnetic resonance images with comparable signal to noise ratio, in addition, the algorithm coding and decoding procedure are extremely fast.

Paper Details

Date Published: 18 July 1999
PDF: 7 pages
Proc. SPIE 3662, Medical Imaging 1999: PACS Design and Evaluation: Engineering and Clinical Issues, (18 July 1999); doi: 10.1117/12.352765
Show Author Affiliations
Othman Omran Khalifa, Univ. of Newcastle (United Kingdom)
Satnam Singh Dlay, Univ. of Newcastle (United Kingdom)

Published in SPIE Proceedings Vol. 3662:
Medical Imaging 1999: PACS Design and Evaluation: Engineering and Clinical Issues
G. James Blaine; Steven C. Horii M.D., Editor(s)

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