Name
Title | ||
|---|---|---|
Wavelet image compression based on significance clustering and rate distortion optimization |
Abstract | ||
|---|---|---|
This paper presents a new efficient wavelet-based image compression algorithm. Morphological dilation is applied to extract the clustered significant coefficients in each subband resulting in the partitioning of each subband into significance clusters and insignificance space. With this partitioning, the rate distortion is optimized in the proposed algorithm by encoding the significance clusters in all subbands first. When encoding the insignificance space, the zerotree is discovered to be not very efficient for representing zeros across scales for texture images, and a more efficient method is proposed. Experimental results show that the performance of the proposed algorithm compares favorably with the most efficient wavelet-based image compression algorithm published so far |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1109/ISSPA.1999.815800 | Signal Processing and Its Applications, 1999. ISSPA '99. Proceedings of the Fifth International Symposium |
Keywords | Field | DocType |
data compression,image coding,mathematical morphology,optimisation,pattern clustering,rate distortion theory,transform coding,wavelet transforms,insignificance space,morphological dilation,rate distortion optimization,significance clustering,subband partitioning,texture images,wavelet image compression,zerotree | Computer vision,Pattern recognition,Set partitioning in hierarchical trees,Computer science,Discrete wavelet transform,Artificial intelligence,Cascade algorithm,Data compression,Stationary wavelet transform,Wavelet packet decomposition,Wavelet transform,Wavelet | Conference |
Volume | ISBN | Citations |
2 | 1-86435-451-8 | 0 |
PageRank | References | Authors |
0.34 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhong, J.M. | 1 | 0 | 0.68 |
| Cheung H. Leung | 2 | 23 | 1.46 |
| Y. Y. Tang | 3 | 416 | 165.12 |