Abstract | ||
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We propose a novel adaptive wavelet transform that exploits local image properties for image compression. It combines wavelet filters adaptive to edge orientations with quincunx subsampling to form a 2-D nonseparable transform through lifting. Filter selections are efficiently represented. Significant improvement on both subjective and objective quality over the conventional separable transform is observed. In addition, unlike previous adaptive transforms, the symmetry in quincunx subsampling enables even quality for image features along different directions and the compression performance is insensitive to image orientation |
Year | DOI | Venue |
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2005 | 10.1109/MMSP.2005.248564 | MMSP |
Keywords | Field | DocType |
directional quincunx lifting,image quality,image coding,local image properties,wavelet transforms,2-d nonseparable transform,data compression,image orientation,transform coding,adaptive filters,wavelet filters,adaptive wavelet transform,quincunx subsampling,image compression,image features,wavelet transform | Computer vision,Harmonic wavelet transform,Quincunx,Pattern recognition,Lifting scheme,Computer science,Second-generation wavelet transform,Artificial intelligence,Discrete wavelet transform,Stationary wavelet transform,Wavelet,Wavelet transform | Conference |
ISBN | Citations | PageRank |
0-7803-9289-2 | 19 | 1.70 |
References | Authors | |
8 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Chuo-Ling Chang | 1 | 247 | 18.15 |
Arian Maleki | 2 | 803 | 57.52 |
Bernd Girod | 3 | 8988 | 1062.96 |