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Medical image lossless compression for transmission of cross-limited bandwidth channels

Lookup NU author(s): Professor Satnam Dlay


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In this paper, we present the interpixel redundancy between the neighbouring 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 Neighbouring Zero Coding (NZC); it is based on the common characteristic of that images as neighbouring 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% of the image coefficients (pixels) to zeros. The NZC method resulted in, on average, lossless compression to about 1.65 b/pixel from 8 bits with a different high-resolution digitised Computed Tomography (CT) and Magnetic Resonance (MR) images with comparable signal to noise ratio, in addition, the algorithm coding and decoding procedure are extremely fast.

Publication metadata

Author(s): Khalifa Othman O, Dlay Satnam S

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Medical Imaging 1999: PACS Design and Evaluation: Engineering and Clinical Issues

Year of Conference: 1999

Pages: 342-348

ISSN: 0277-786X

Publisher: Society of Photo-Optical Instrumentation Engineers

Library holdings: Search Newcastle University Library for this item

Series Title: Proceedings of SPIE - The International Society for Optical Engineering

ISBN: 9780819431349