Denoising of a Color image using fuzzy Filtering Techniques
Journal Title: International Journal of Computer & organization Trends(IJCOT) - Year 2013, Vol 3, Issue 3
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. Step by step the noise is removed in a considerable amount. The noisy pixels are detected step by step with the help of Fuzzy 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-matching 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
Authors and Affiliations
Dr. S. Balaji , T. V. Sarath kumar
Keywords
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