| Paper: | SPTM-P9.7 | ||
| Session: | Nonlinear Systems and Signal Processing | ||
| Time: | Thursday, May 20, 13:00 - 15:00 | ||
| Presentation: | Poster | ||
| Topic: | Signal Processing Theory and Methods: Nonlinear Systems and Signal Processing | ||
| Title: | FUZZY LUM FILTERS | ||
| Authors: | Yao Nie; University of Delaware | ||
| Kenneth E. Barner; University of Delaware | |||
| Abstract: | Fuzzy ranks are a component of fuzzy ordering theory developed to incorporate sample spread information into sample ranking. In this paper, the well-known lower-upper-middle (LUM) filters are generalized by utilizing the fuzzy ranks, which is called fuzzy LUM (F-LUM) filters. We develop the statistical and deterministic properties of the F-LUM filters and present their performance in image denoising and enhancing applications. As shown by the experimental results, the F-LUM filters inherit the simplicity and versatility of the LUM filters such that they can perform signal smoothing, sharpening and outlier rejection using a single filter structure, while having great improvement in detail preservation and robustness to noise. | ||
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