Name
Abstract | ||
|---|---|---|
Constantinescu and Storer introduced an adaptive vector quantization algorithm (AVQ) that combines adaptive dictionary techniques with vector quantization (VQ). The algorithm typically equals or exceeds thecompression of the JPEG standard on different classes of images and it often out-performs traditional trained VQ. In this paper we show how it is possible to improve AVQ on the class of images on which JPEG does best (i.e., "magazine photographs"). The improvement is possible by exploring the similarities into the dictionary built by AVQ. |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1109/DCC.1999.785703 | Data Compression Conference |
Keywords | Field | DocType |
jpeg standard,magazine photograph,adaptive vector quantization algorithm,adaptive dictionary technique,vector quantization,different class,out-performs traditional trained vq,single-pass adaptive vector quantization,decoding,speech processing,decoder,compression ratio,image compression,entropy coding,tin | Single pass,Data compression ratio,Heuristic,Learning vector quantization,Theoretical computer science,Vector quantization,Compression ratio,JPEG,Quantization (physics),Mathematics | Conference |
ISSN | ISBN | Citations |
1068-0314 | 0-7695-0096-X | 1 |
PageRank | References | Authors |
0.40 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| F. Rizzo | 1 | 1 | 0.40 |
| J. A. Storer | 2 | 71 | 15.99 |
| B. Carpentieri | 3 | 136 | 12.01 |