Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9651038 | Information Sciences | 2005 | 19 Pages |
Abstract
Adaptive vector quantization (AVQ) is a flexible adaptive single pass image compression method, with fast decompression time, for which practical compression achieved compares favorably with existing methods such as the JPEG standard and traditional trained VQ. In this paper we analyze its asymptotic performance for the lossless case and present variations to limit the effect of transmission errors on the decoding image.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Francesco Rizzo, James A. Storer, Bruno Carpentieri,