Modified Method for Denoising Color Images using Fuzzy Approach

Author

Nair, Madhu S. ; Wilscy, M.

Author_Institution

Rajagiri Sch. of Comput. Sci., Rajagiri Coll. of Social Sci., Kochi

fYear

2008

fDate

6-8 Aug. 2008

Firstpage

507

Lastpage

512

Abstract

A modified fuzzy approach is proposed here for color image restoration, where the image is corrupted with additive noise. The modified fuzzy method is composed of two sub-filters, where the first fuzzy sub-filter computes the fuzzy distances between the color components of the central pixel and its neighborhood using Gaussian combination membership function, and the second sub-filter corrects the pixels where color component differences are corrupted. The performance of the new approach is compared with conventional filters, both visually and quantitatively using PSNR values. Experimental results show the feasibility of the modified fuzzy approach.

Keywords

Gaussian processes; fuzzy set theory; image denoising; image restoration; Gaussian combination membership function; additive noise; color image denoising; color image restoration; fuzzy approach; fuzzy sub-filter; Additive noise; Color; Degradation; Filters; Gaussian noise; Image enhancement; Image restoration; Noise reduction; Pixel; Signal processing; Noise; distance measure; filter; fuzzy;

fLanguage

English

Publisher

ieee

Conference_Titel

Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2008. SNPD '08. Ninth ACIS International Conference on

Conference_Location

Phuket

Print_ISBN

978-0-7695-3263-9

Type

conf

DOI

10.1109/SNPD.2008.10

Filename

4617422