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Fuzzy Filtering for Restoration of Color Images by Reducing Gaussian and Impulse Noise
Abstract
Image restoration is the process of recovering high quality original image from the degraded version of the image. The noises in the digital images are introduced during their acquisition and transmission. The objective of this paper is to denoise the color images which are affected by the Gaussian and Impulse noise. In this paper, the fuzzy peer cluster concept is used. A fuzzy peer cluster will be defined as a group of pixels which are similar to the processing pixel. The fuzzy peer cluster for each image pixel will be determined and the Fuzzy rule is used to detect the impulse noise in each image pixel. Impulse noise in the image pixel is removed by using the Swapping Bilateral Filter. Gaussian noise in the pixel is detected by means of the suggested median value. Gaussian noise in the image is reduced by using the same Swapping Bilateral Filter.
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References
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