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Locally Adaptive Vector Quantization For Image Compression

Goodman, Rodney M. and Sayano, Masahiro and Cheung, Kar-Ming and Pollara, Fabrizio (1991) Locally Adaptive Vector Quantization For Image Compression. In: Proceedings. 1991 IEEE International Symposium on Information Theory. IEEE , Piscataway, NJ, p. 250. ISBN 0-7803-0056-4. https://resolver.caltech.edu/CaltechAUTHORS:20170622-134209135

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Abstract

In this paper we study various improvements to a locally adaptive vector quantization (LAVQ) algorithm. The effects of including bit stripping, index compression, and filtering techniques will be discussed. Software implementation and comparisons with non-adaptive vector quantization algorithms will be studied.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1109/ISIT.1991.695306DOIArticle
http://ieeexplore.ieee.org/document/695306/PublisherArticle
Additional Information:© 1991 IEEE.
Record Number:CaltechAUTHORS:20170622-134209135
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20170622-134209135
Official Citation:R. M. Goodman, M. Sayano, Kar-Ming Cheung and F. Pollara, "Locally Adaptive Vector Quantization For Image Compression," Proceedings. 1991 IEEE International Symposium on Information Theory, 1991, pp. 250-250. doi: 10.1109/ISIT.1991.695306
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:78470
Collection:CaltechAUTHORS
Deposited By: Kristin Buxton
Deposited On:22 Jun 2017 21:07
Last Modified:03 Oct 2019 18:09

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