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

Volume

2

fYear

2004

fDate

17-21 May 2004

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-8484-9

Type

conf

DOI

10.1109/ICASSP.2004.1326402

Filename

1326402