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Volume 10, Issue 11, November (2020)                               Cover Page and Table of Contents

S.No Title & Authors Full Text
1 A Fuzzy Based IMAGE Denoising Filter Using Non-Linear Fuzzy Membership Functions
Shyna A, Thomas Kurian, Jayakrishnan Kunhipurayil, Jidu Nandan, Mohammed Hazm Aneez
Abstract - Quality of images are often degraded by the presence of noise which obscures different image features. The process of restoring original quality images from noisy nature is often an unavoidable and challenging step in image enhancement. Gaussian noise is one of the most commonly occurring noise distributions which is mainly occurred during acquisition and transmission of images. Even though averaging filter is widely used to remove Gaussian noise, it causes significant blurring of edges in the filtered image. In this paper, a method of improving the denoising capability of a basic averaging filter using fuzzy logic is discussed and further, a new non-linear fuzzy membership function (FMF) is proposed to improve the noise filtering as well as edge retention capability of the existing filter. The experimental results justify the improved quality of denoising of the proposed filter.
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