Name
Abstract | ||
|---|---|---|
Compressed sensing (CS) has been proposed for more efficient signal compression and recovery at theoretical level. This paper proposes a new image/video coding approach combining the CS theory into the traditional discrete cosine transform (DCT) based coding method to achieve better compression efficiency for spatially sparse signal. Furthermore, this new approach is integrated into JPEG and H.264/AVC coding framework as a new coding mode. Rate-distortion optimization is employed for adaptive selection between the new coding mode and the conventional coding modes. Experimental results demonstrated remarkable coding gain for different kinds of natural image/videos by the proposed method. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ICASSP.2008.4517871 | ICASSP |
Keywords | Field | DocType |
signal recovery,jpeg,optimisation,image coding,h.264/avc coding framework,discrete cosine transform,data compression,discrete cosine transforms,compressed sensing theory,adaptive selection,compressed sensing,rate-distortion optimization,video coding,signal compression,spatial sparse signal,image/video coding,coding gain,rate distortion optimization | Tunstall coding,Coding tree unit,Pattern recognition,Computer science,Context-adaptive variable-length coding,Transform coding,Multiview Video Coding,Artificial intelligence,Sub-band coding,Data compression,Context-adaptive binary arithmetic coding | Conference |
ISSN | ISBN | Citations |
1520-6149 E-ISBN : 978-1-4244-1484-0 | 978-1-4244-1484-0 | 16 |
PageRank | References | Authors |
1.05 | 5 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yifu Zhang | 1 | 170 | 15.01 |
| Shunliang Mei | 2 | 119 | 13.07 |
| Quqing Chen | 3 | 74 | 7.58 |
| Zhibo Chen | 4 | 270 | 44.69 |