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18 July 1999 Medical image lossless compression for transmission of cross-limited bandwith channels
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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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Othman Omran Khalifa and Satnam Singh Dlay "Medical image lossless compression for transmission of cross-limited bandwith channels", Proc. SPIE 3662, Medical Imaging 1999: PACS Design and Evaluation: Engineering and Clinical Issues, (18 July 1999);

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