Skip to main content
Presentation
Image compression based on genealogical relation of the TSVQ indices
Faculty of Informatics - Papers (Archive)
  • Jamshid Shanbehzadeh, Tarbiat Moalem University
  • Philip Ogunbona, University of Wollongong
  • Abdoihosein Sarafzadeh, Tarbiat Moalem University
RIS ID
65856
Publication Date
1-1-1998
Publication Details

Shanbehzadeh, J., Ogunbona, P. & Sarafzadeh, A. (1998). Image compression based on genealogical relation of the TSVQ indices. Proceedings of SPIE - Multimedia Storage and Archiving Systems III (pp. 476-483). The International Society for Optical Engineering.

Abstract
The indices obtained by tree-structured vector quantisation (TSVQ) have an interesting property that enables them to give information about the correlation between two image blocks. Iftwo 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 Information
Jamshid Shanbehzadeh, Philip Ogunbona and Abdoihosein Sarafzadeh. "Image compression based on genealogical relation of the TSVQ indices" (1998) p. 476 - 483
Available at: http://works.bepress.com/p_ogunbona/63/