Name
Abstract | ||
|---|---|---|
In this paper, we propose a multiple component predictive coding framework. We firstly separate the reconstructed image into several subcomponents; and then predict each subcomponent independently but encode them together. To separate image into multiple subcomponents, we also propose a fast operator-based image separation algorithm. With the help of multicomponent prediction strategy, our prediction results can achieve superior performance than the H.264/AVC intra frame prediction method for images containing rich textures. By adopting the residue coding method used in H.264/AVC, we compare the compression efficacy of our proposed algorithm with the state-of-art JPEG2000 and H.264/AVC intra frame compression algorithms in the experimental part. The numerical results show that our algorithm is better than both H.264/AVC intra frame coding algorithm and JPEG2000 algorithm for images with ample textures. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICME.2011.6011891 | ICME |
Keywords | Field | DocType |
jpeg2000 algorithm,multiple component,reconstructed image,avc intra frame prediction,prediction result,predictive coding framework,fast operator-based image separation,avc intra frame,avc intra frame compression,proposed algorithm,multicomponent prediction strategy,prediction algorithms,codecs,image reconstruction,image compression,compression algorithm,transform coding | Iterative reconstruction,Computer vision,Pattern recognition,Computer science,Context-adaptive variable-length coding,Transform coding,Artificial intelligence,JPEG 2000,Data compression,Codec,Image compression,Context-adaptive binary arithmetic coding | Conference |
ISSN | Citations | PageRank |
1945-7871 | 6 | 0.47 |
References | Authors | |
12 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiyuan Hu | 1 | 108 | 19.03 |
| Weiping Xia | 2 | 9 | 0.91 |
| S. Peng | 3 | 332 | 40.36 |
| Wen-Liang Hwang | 4 | 429 | 58.03 |