VSAC: an algorithm for image sequence coding

Ahmed S. EL-Behery; Samia A. Mashali; Ahmed M. Darwish

doi:10.1117/12.142201

26 March 1993 VSAC: an algorithm for image sequence coding

Ahmed S. EL-Behery, Samia A. Mashali, Ahmed M. Darwish

Proceedings Volume 1819, Digital Image Processing and Visual Communications Technologies in the Earth and Atmospheric Sciences II; (1993) https://doi.org/10.1117/12.142201
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States

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.

Citation Download Citation

Ahmed S. EL-Behery, Samia A. Mashali, and Ahmed M. Darwish "VSAC: an algorithm for image sequence coding", Proc. SPIE 1819, Digital Image Processing and Visual Communications Technologies in the Earth and Atmospheric Sciences II, (26 March 1993); https://doi.org/10.1117/12.142201

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