Image compression based on genealogical relation of the TSVQ indices

Jamshid Shanbehzadeh; Philip O. Ogunbona; Abdolhosain Sarafzadeh

doi:10.1117/12.325840

5 October 1998 Image compression based on genealogical relation of the TSVQ indices

Jamshid Shanbehzadeh, Philip O. Ogunbona, Abdolhosain Sarafzadeh

Proceedings Volume 3527, Multimedia Storage and Archiving Systems III; (1998) https://doi.org/10.1117/12.325840
Event: Photonics East (ISAM, VVDC, IEMB), 1998, Boston, MA, United States

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.

Citation Download Citation

Jamshid Shanbehzadeh, Philip O. Ogunbona, and Abdolhosain Sarafzadeh "Image compression based on genealogical relation of the TSVQ indices", Proc. SPIE 3527, Multimedia Storage and Archiving Systems III, (5 October 1998); https://doi.org/10.1117/12.325840

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