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Proceedings Paper

Image compression based on genealogical relation of the TSVQ indices
Author(s): Jamshid Shanbehzadeh; Philip O. Ogunbona; Abdolhosain Sarafzadeh
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Paper Abstract

The indices obtained by tree-structured vector quantization (TSVQ) have an interesting property that enables them to give information about the correlation between two image blocks. If two image blocks are highly correlated, they may have an identical index, or the same ancestors. The existence of high inter-block correlation in natural images results in having neighboring blocks with the same genealogy. This characteristic can be used to compress the indices. This paper introduces a novel method to exploit the genealogical relation between the image block indices obtained from a TSVQ. The performance of this scheme in terms of PSNR versus average rate was compared with some other similar image coders. The results show that this scheme has better compression capability in terms of objective and subjective quality over these schemes at bit rates less than 0.3 bpp.

Paper Details

Date Published: 5 October 1998
PDF: 8 pages
Proc. SPIE 3527, Multimedia Storage and Archiving Systems III, (5 October 1998); doi: 10.1117/12.325840
Show Author Affiliations
Jamshid Shanbehzadeh, Teacher Training Univ. (Iran)
Philip O. Ogunbona, Univ. of Wollongong (Australia)
Abdolhosain Sarafzadeh, Teacher Training Univ. (Iran)

Published in SPIE Proceedings Vol. 3527:
Multimedia Storage and Archiving Systems III
C.-C. Jay Kuo; Shih-Fu Chang; Sethuraman Panchanathan, Editor(s)

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