Name
Abstract | ||
|---|---|---|
Performing optimal bit-allocation with 3-D wavelet coding methods is difficult because energy is not conserved after applying the motion-compensated temporal filtering (MCTF) process and the spatial wavelet transform. The problem cannot be solved by extending the 2-D wavelet coefficients weighting method directly and then applying the result to 3-D wavelet coefficients, since this approach does not consider the complicated pixel connectivity that results from the lifting-based MCTF process. In this paper, we propose a novel weighting method, which takes account of the pixel connectivity, to solve the problem and derive the effect of the quantization error of a subband on the reconstruction error of a group of pictures. We employ the proposed method on a 2-D + t structure with different temporal filters, namely the 5-3 filter and the 9-7 filter. Experiments on various coding parameters and sequences show that the proposed approach improves the bit-allocation performance over that obtained by using the weightings derived without considering the pixel connectivity in the MCTF process. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/TIP.2008.2007067 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
3-d wavelet coefficient,3-d wavelet coding,bit-allocation performance,lifting-based mctf process,subband weighting,mctf process,novel weighting method,2-d wavelet coefficients weighting,3-d wavelet,complicated pixel connectivity,pixel connectivity,quantization,wavelet transform,quantization error,motion compensation,wavelet transforms,information science,image reconstruction,filtering | Computer vision,Weighting,Pattern recognition,Group of pictures,Computer science,Filter (signal processing),Artificial intelligence,Quantization (signal processing),Wavelet packet decomposition,Wavelet,Pixel connectivity,Wavelet transform | Journal |
Volume | Issue | ISSN |
18 | 1 | 1057-7149 |
Citations | PageRank | References |
3 | 0.43 | 16 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cho-Chun Cheng | 1 | 10 | 2.03 |
| Guan-Ju Peng | 2 | 11 | 3.27 |
| Wen-Liang Hwang | 3 | 429 | 58.03 |