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| Paper: | IMDSP-L2.4 |
| Session: | Image and Multidimensional Signal Processing: Theory |
| Time: | Wednesday, May 19, 16:30 - 16:50 |
| Presentation: |
Lecture |
| Topic: |
Image and Multidimensional Signal Processing: M-D Signal Processing Theory and Methods |
| Title: |
A MULTIRESOLUTION DIRECTIONAL FILTER BANK FOR IMAGE APPLICATIONS |
| Authors: |
Truong T. Nguyen; University of Texas, Arlington | | |
| | Soontorn Oraintara; University of Texas, Arlington | | |
| Abstract: |
In this paper, we proposed a new formulation of directional filter banks (DFBs). By using a non-uniform and non-separable filter bank, a critically sampled multiresolution directional image representation can be obtained efficiently. The resulting DFB yields non-uniform frequency division which composes of one lowpass channel with a decimation factor of one-fourth and six highpass directional channels with a decimation factor of one-eighth. It overcomes the limited directional selectivity of the separable wavelets and the conventional DFB. The lowpass channel can be used to obtain multiresolution representation by simply re-iterating the same DFB decomposition. On the other hand, the directional subbands can be further refined by simply applying a two-channel DFB at each highpass channel. A simple design method yielding near orthogonal uniform and non-uniform multidimensional filter banks is discussed, and, finally, a numerical experiment is presented to demonstrate potential of the new image basis. |
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