Multi-dimensional WFM filter: an application to color image restoration

Author

Lee, Chang-Shing ; Kuo, Yau-Hwang

Author_Institution

Inst. of Inf. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan

fYear

1996

fDate

11-14 Dec 1996

Firstpage

465

Lastpage

471

Abstract

A multi-dimensional weighted fuzzy mean (MWFM) filter used in color image restoration is proposed and analyzed. MWFM is an extension of the weighted fuzzy mean (WFM) filter obtained by embedding a fuzzy detector and a dynamic selection procedure into WFM to overcome the drawback of WFM in detail signal preservation. The fuzzy detector uses two fuzzy intervals and refers the WFM-filtered outputs to detect the amplitude of impulse noise which will be used in the dynamic selection procedure. Using the dynamic selection approach, MWFM not only preserves the high stability and performance of WFM when removing heavy additive impulse noise, but also improves the performance of WFM on light additive impulse noise

Keywords

filtering theory; fuzzy set theory; image restoration; knowledge based systems; color image restoration; detail signal preservation; dynamic selection procedure; filtered outputs; fuzzy detector; fuzzy intervals; heavy additive impulse noise removal; impulse noise amplitude detection; light additive impulse noise; multi-dimensional WFM filter; multi-dimensional weighted fuzzy mean filter; performance; stability; Additive noise; Detectors; Filtering; Filters; Image analysis; Image color analysis; Image restoration; Noise level; Pixel; Stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems Symposium, 1996. Soft Computing in Intelligent Systems and Information Processing., Proceedings of the 1996 Asian

Conference_Location

Kenting

Print_ISBN

0-7803-3687-9

Type

conf

DOI

10.1109/AFSS.1996.583668

Filename

583668