Title :
Fuzzy LUM filters [image denoising/enhancement applications]
Author :
Nie, Yao ; Barner, Kenneth E.
Author_Institution :
Dept. of Electr. & Comput. Eng., Delaware Univ., Newark, DE, USA
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.
Keywords :
fuzzy set theory; image denoising; image enhancement; smoothing methods; F-LUM filters; detail preservation; fuzzy LUM filters; fuzzy ordering theory; fuzzy ranks; image denoising; image enhancement; lower-upper-middle filters; noise robustness; outlier rejection; sample ranking; sample spread information; signal sharpening; signal smoothing; Filtering theory; Image denoising; Information filtering; Information filters; Noise robustness; Smoothing methods; Statistics; Strontium;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
Print_ISBN :
0-7803-8484-9
DOI :
10.1109/ICASSP.2004.1326402
