Title :
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
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;
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
DOI :
10.1109/SNPD.2008.10
