IJPTT

Denoising of a Color image using fuzzy Filtering Techniques

	International Journal of Computer & Organization Trends  (IJCOT)
	© 2013 by IJCOT Journal
	Volume-3 Issue-1
	Year of Publication : 2013
	Authors :  Dr. S. Balaji , T. V. Sarath kumar

Citation

 Dr. S. Balaji , T. V. Sarath kumar " Denoising of a Color image using fuzzy Filtering Techniques" . International Journal of Computer & organization Trends  (IJCOT),V3(1):19-26 Jan - Feb, 2013. Published by Seventh Sense Research Group.

Abstract

In this paper, different types of filtering techniques are used for the removal of noise in an image. The results are obtained by three steps in the filtering process. S tep by step the noise is remove d in a considera ble amount . The noisy pixels are detected step by step with the help of Fuz zy rules and removed one by one, and the noise - free pixels are remained unchanged. Due to linguistic variables are used. The pixels that are detected as noisy is done by block - match ing based on a noise adaptive mean absolute difference. The proposed method is done by measuring different methods , such as the mean absolute error (MAE), the peak signal - to - noise ratio (PSNR) and the normalized color difference (NCD), in terms of state - of - the - art filters.

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Keywords

Fuzzy Filter , Image processing, Image denoising, Impulse noise, membership functions, noise reduction, block matching.