Abstract | ||
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We propose a perceptually-adaptive motion compensated temporal filtering (MCTF) method to enhance the visual quality of 3D wavelet video coding schemes with spatial-domain MCTF. In our scheme, a spatio-temporal masking model in image domain is incorporated into the lifting structure of MCTF. The model is used to guide the motion search and the prediction step in MCTF so as to remove the visual redundancy in the video sequence. Experimental results show that the proposed scheme can significantly improve the visual quality of decoded video at different bitrates |
Year | DOI | Venue |
---|---|---|
2006 | 10.1109/ICME.2006.262630 | ICME |
Keywords | Field | DocType |
motion compensation,spatio-temporal masking model,wavelet transforms,adaptive decoding,motion compensated temporal filtering,spatiotemporal phenomena,image domain,adaptive filters,3d wavelet video coding,perceptually-adaptive mctf method,video coding,image sequences,visual quality enhancement,image enhancement,decoding,video sequence,redundancy,psnr,predictive models | Wavelet video coding,Masking (art),Computer science,Motion compensation,Redundancy (engineering),Artificial intelligence,Adaptive filter,Wavelet transform,Computer vision,Pattern recognition,Filter (signal processing),Speech recognition,Decoding methods | Conference |
ISBN | Citations | PageRank |
1-4244-0367-7 | 0 | 0.34 |
References | Authors | |
4 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Dongdong Zhang | 1 | 0 | 0.68 |
Xin Ma | 2 | 0 | 0.34 |
Wenjun Zhang | 3 | 1789 | 177.28 |
Xiaokang Yang | 4 | 3581 | 238.09 |
Yu Song | 5 | 356 | 52.74 |