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Improving single-pass adaptive VQ

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3 Author(s)
F. Rizzo ; Dept. of Comput. Sci., Brandeis Univ., Waltham, MA, USA ; J. A. Storer ; B. Carpentieri

Constantinescu and Storer (1994) introduced a single-pass vector quantization algorithm that with no specific training or prior knowledge of the data was able to achieve better compression results with respect to the JPEG standard, along with a number of computational advances such as: adjustable fidelity/compression tradeoff, precise guarantees on any l×l sub-block of the image, and fast table-lookup decoding. We improve that basic algorithm by blending it with the mean shape-gain vector quantization (MSGVQ) compression scheme. This blending allows a slightly better performance in terms of compression and a clear improvement in visual quality

Published in:

Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on  (Volume:6 )

Date of Conference:

15-19 Mar 1999