2017
DOI: 10.5120/ijca2017915138
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A Comparative Study of Gaussian Noise Removal Methodologies for Gray Scale Images

Abstract: Image filtering is a technique to preserve important signal elements such as edges, smoothing the details of the image to make images appear clear and sharpener. Among all the non linear concepts to suppress Gaussian noise the fuzzy logic based approaches are important as they are capable of reasoning with vague and uncertain information. In this study, have made comparative study with the existing noise reduction methods where the images contaminated with Gaussian noise and found the best result by using fuzz… Show more

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