Name
Abstract | ||
|---|---|---|
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/spl times/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. |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1109/ICASSP.1999.757514 | Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference |
Keywords | Field | DocType |
adaptive codes,image coding,image matching,table lookup,vector quantisation,JPEG standard,adjustable fidelity/compression tradeoff,fast table-lookup decoding,image compression,mean shape-gain based block matching,mean shape-gain vector quantization,performance,single-pass adaptive VQ,single-pass vector quantization algorithm,visual quality | Speech processing,Data compression ratio,Pattern recognition,Computer science,JPEG,Vector quantization,Artificial intelligence,Quantization (image processing),Decoding methods,Image compression,Encoding (memory) | Conference |
Volume | ISSN | ISBN |
6 | 1520-6149 | 0-7803-5041-3 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Francesco Rizzo | 1 | 86 | 11.21 |
| J. A. Storer | 2 | 71 | 15.99 |
| B. Carpentieri | 3 | 136 | 12.01 |