Name
Abstract | ||
|---|---|---|
Modern image/video compression techniques greatly help to store and transmit digital images and video data. Discrete wavelet transform is used in JPEG2000 because of its scalability and tolerable degradation. In H.264/AVC, predictive coding is employed to remove spatial redundancy before discrete cosine transform. In this paper, we propose a new encoder structure combining both advantages from JPEG2000 [1] and H.264/AVC [2], which firstly utilizes the proposed spatial transform to decompose a single image into several sub-images and then employs motion compensation to convert the conventional spatial decorrelation into temporal decorrelation. Experimental results show that our proposed method outperforms the state-of-the-art image coding algorithms and achieves better rate-distortion performance. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/PCS.2012.6213327 | 2012 PICTURE CODING SYMPOSIUM (PCS) |
Keywords | Field | DocType |
Discrete wavelet transform(DWT), Discrete cosine transform(DCT), Spatial-temporal decorrelation, Image/video coding | Computer vision,Decorrelation,Context-adaptive variable-length coding,Computer science,Discrete cosine transform,Motion compensation,Theoretical computer science,Artificial intelligence,Discrete wavelet transform,Data compression,Context-adaptive binary arithmetic coding,Scalable Video Coding | Conference |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Miaohui Wang | 1 | 114 | 17.57 |
| King Ngi Ngan | 2 | 2383 | 185.21 |
| Long Xu | 3 | 95 | 7.12 |