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| Paper: | IMDSP-P4.4 |
| Session: | Image and Multidimensional Signal Processing: Theory and Methods |
| Time: | Tuesday, May 18, 15:30 - 17:30 |
| Presentation: |
Poster |
| Topic: |
Image and Multidimensional Signal Processing: M-D Signal Processing Theory and Methods |
| Title: |
FAST OPTIMIZATION OF WEIGHTED VECTOR MEDIAN FILTERS |
| Authors: |
Yuzhong Shen; University of Delaware | | |
| | Kenneth E. Barner; University of Delaware | | |
| Abstract: |
In this paper, we analyze several previous optimization approaches for weighted vector median (WVM) filters and show their deficiencies. We then propose two fast adaptive WVM optimization algorithms. Proposed algorithm I computes the optimal weight changes at each iteration, and updates weights correspondingly. Proposed algorithm II extends the results from weighted median optimization to the vector case by a generalization of an error metric. Both algorithms are fast and stable, and perform well under a wide variety of circumstances. |
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