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A Fuzzy Based Image Noise Filters for Image Enhancement

Jemily Elsa Rajan, V. Karunakaran

Abstract


Image denoising is essential for all image processing applications. The removal of all the noises from the corrupted image is the image denoising. The proposed method removes all the salt and pepper noises from the compound images. Compound images are images which contain a combination of natural images (photos), text, and graphics. The method uses a rotation operator, a noise filter, and a fuzzy system. In this, a noisy compound image is applied to the rotation operator by rotating the image at an integer multiples of 900. The output of the operator is applied to the noise filter which filters the noises in the image and then it is applied to a fuzzy system, which enhances the image. The proposed method efficiently remove all the salt and pepper noises from the compound image and it also improves the performances of the filters and the noise suppression ability of the filters.

Keywords


Image Denoising, Image Enhancement, Image Rotation, Non Linear Filters, Fuzzy Systems.

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References


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