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Proceedings Paper

VSAC: an algorithm for image sequence coding
Author(s): Ahmed S. EL-Behery; Samia A. Mashali; Ahmed M. Darwish
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Paper Abstract

Image data compression is essential for a number of applications that involve transmission and storage. One technique that has been recently extensively investigated is vector quantization (VQ). For image sequence coding, we usually need adaptive algorithms to exploit the high correlation between successive frames. In this paper, we describe an adaptive technique for image sequence coding based on vector quantization. The algorithm is called Variable Size And Code (VSAC), and it has a codebook that varies both in size and code as successive frames are encoded to closely match the local statistics of the current frame. Experimental results are presented on a test sequence and demonstrate that the proposed technique is efficient and that it maintains a nearly constant distortion over the entire sequence.

Paper Details

Date Published: 26 March 1993
PDF: 10 pages
Proc. SPIE 1819, Digital Image Processing and Visual Communications Technologies in the Earth and Atmospheric Sciences II, (26 March 1993); doi: 10.1117/12.142201
Show Author Affiliations
Ahmed S. EL-Behery, Electronics Research Institute (Egypt)
Samia A. Mashali, Electronics Research Institute (Egypt)
Ahmed M. Darwish, Cairo Univ. (Egypt)


Published in SPIE Proceedings Vol. 1819:
Digital Image Processing and Visual Communications Technologies in the Earth and Atmospheric Sciences II
Mark J. Carlotto, Editor(s)

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