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Forward-adaptive method for context-based compression of large binary images

✍ Scribed by Eugene I. Ageenko; Pasi Fränti

Publisher
John Wiley and Sons
Year
1999
Tongue
English
Weight
154 KB
Volume
29
Category
Article
ISSN
0038-0644

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✦ Synopsis

A method for compressing large binary images is proposed for applications where spatial access to the image is required. The proposed method is a two-stage combination of forward-adaptive modeling and backwardadaptive context based compression with re-initialization of statistics. The method improves compression performance significantly in comparison to a straightforward combination of JBIG and tiling. Only minor modifications to the QM-coder are required, and therefore existing software implementations can be easily utilized. Technical details of the modifications are provided.

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