| 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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