Fuzzy Techniques for Enhancement of Low Contrast Images
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 11
Abstract
In the recent years enormous work has been carried out to enhance the contrast of image because of its wide applications in surveillance, medical domain and enhancement of geostationary images. Conventional methods likes histogram equalization and adaptive histogram equalization are either under expose or over expose the contrast of the image which result in bad image quality, to improve on this drawback here we propose a novel fuzzy based contrast enhancement method. In the proposed work variable membership function is used to map input membership function into output memberships which are transformed using different intensity transformation method. At the end fuzzy rule has been adopted to defuzzify the transformed image which results in preeminent contrast enhanced image. To test the performance of the method, comparative analysis have been carried out based on parameters like SSIM, Mean which shows the outperformance of proposed method over the existing.
Authors and Affiliations
Miss. Shital B. Nikam, Prof. Dnyaneshwar D. Ahire
Keywords
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