Name
Title | ||
|---|---|---|
Scalable image coding using Gaussian pyramid vector quantisation with resolution-independent block size |
Abstract | ||
|---|---|---|
We present a new approach to multiresolution vector quantisation. Its main advantage is exploitation of long-range correlations in the image by keeping the vector size constant, independent of the image scale. We also developed a variable block-rate version of the algorithm, which allows better utilisation of the available bit budget by refining only those areas of the image which are not efficiently approximated by lower resolutions of the pyramid |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1109/ICASSP.1997.595408 | Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference |
Keywords | Field | DocType |
Gaussian processes,correlation methods,image coding,image resolution,vector quantisation,Gaussian pyramid vector quantisation,bit budget,image areas,image resolution,image scale,long range correlations,resolution independent block size,scalable image coding,variable block rate algorithm,vector size constant | Block size,Pattern recognition,Computer science,Image processing,Pyramid (image processing),Vector quantization,Gaussian process,Pyramid,Artificial intelligence,Image resolution,Signal compression | Conference |
Volume | ISSN | ISBN |
4 | 1520-6149 | 0-8186-7919-0 |
Citations | PageRank | References |
1 | 0.40 | 3 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cieplinski, L. | 1 | 1 | 0.40 |
| Bober, M. | 2 | 1 | 0.40 |