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Proceedings Paper

Simple segmentation algorithm for mixed raster contents image representation
Author(s): Zhigang Fan; Ming Xu
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Paper Abstract

Mixed Raster Contents (MRC) is a powerful image representation concept in achieving high compression ratios while maintaining high reconstructed image quality. By decomposing an image into different planes, each plane of the raster data can be compressed by different coding schemes according to its individual attributes. This paper presents a simple segmentation algorithm for implementing the MRC model. The segmentation is performed block by block. Each image block is segmented according to its local statistics as well as its surrounding context. The latter is determined by a Markov model.

Paper Details

Date Published: 28 December 2001
PDF: 9 pages
Proc. SPIE 4663, Color Imaging: Device-Independent Color, Color Hardcopy, and Applications VII, (28 December 2001); doi: 10.1117/12.452975
Show Author Affiliations
Zhigang Fan, Xerox Corp. (United States)
Ming Xu, Xerox Corp. (United States)


Published in SPIE Proceedings Vol. 4663:
Color Imaging: Device-Independent Color, Color Hardcopy, and Applications VII
Reiner Eschbach; Gabriel G. Marcu, Editor(s)

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