Title | ||
---|---|---|
Complex-subband transform for subband-based motion estimation/compensation and coding. |
Abstract | ||
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This paper introduces the complex subband transform (CST) that can be applied for both subband signal decomposition and motion estimation, which are the two major processes in subband-based image sequence coding. In the experiments, we compare the CST-based subband motion compensation with conventional block matching motion compensation, and find that the former has (i) higher peak signal-to-noise ratio (PSNR) of the reconstructed images and (ii) lower prediction error entropy of the motion vectors. |
Year | DOI | Venue |
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1997 | 10.1109/83.568926 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
motion vector,motion compensation,higher peak signal-to-noise ratio,subband-based motion estimation,conventional block,lower prediction error entropy,complex subband,motion estimation,major process,subband signal decomposition,cst-based subband motion compensation,vector quantization,prediction error,signal to noise ratio,redundancy,filter bank,image reconstruction,transform coding,peak signal to noise ratio,entropy,mathematical transformations,psnr | Computer vision,Quarter-pixel motion,Pattern recognition,Signal-to-noise ratio,Motion compensation,Image processing,Transform coding,Vector quantization,Artificial intelligence,Motion estimation,Mathematics,Signal compression | Journal |
Volume | Issue | ISSN |
6 | 5 | 1057-7149 |
Citations | PageRank | References |
3 | 0.51 | 7 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Cheng-Chang Lien | 1 | 128 | 13.15 |
Chung-Lin Huang | 2 | 139 | 13.24 |
J G Chen | 3 | 3 | 0.51 |