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Proceedings Paper

Segmentation-based lossless coding of medical images
Author(s): Liang Shen; Rangaraj M. Rangayyan
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Paper Abstract

Lossless compression techniques are essential in archival and communication of medical images. However, there has been limited recent progress in lossless image coding. Algorithms available are either too complicated for fast implementation or suitable only for certain specific types of images. In this paper, a new Segmentationbased Lossless Image Coding (SLIC) scheme is proposed, which is based on a simple but efficient region growing procedure. This embedded procedure produces an adaptive scanning pattern for an image with the help of a very-few-bits-needed discontinuity index map. Along with this scanning pattern, the high correlation among image pixels is exploited by the method, and thereby an error image data part with a very small dynamic range is generated. Both the error image data and the discontinuity index map data parts are then JBIG encoded. In comparison with direct coding by JBIG, JPEG, adaptive Lempel-Ziv, and 2D Burg prediction pius Huffman error coding methods, the SLIC method performed better by at least 7% with ten 8-bit and 10-bit high-resolution digitized medical images. Keywords: segmentation, region growing, lossless compression, image coding, medical image

Paper Details

Date Published: 21 April 1995
PDF: 9 pages
Proc. SPIE 2501, Visual Communications and Image Processing '95, (21 April 1995); doi: 10.1117/12.206803
Show Author Affiliations
Liang Shen, Univ. of Calgary (Canada)
Rangaraj M. Rangayyan, Univ. of Calgary (Canada)


Published in SPIE Proceedings Vol. 2501:
Visual Communications and Image Processing '95
Lance T. Wu, Editor(s)

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