Research paper on image processing using fuzzy logic

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Abhishek Sahu, Praveen Yadav. Due to the increase in need of transmission of images in computer, mobile environments, the research in the field of image compression has increased significantly. Image compression plays a important role in digital image processing. In this paper image compression is done using slant transform exploiting the characteristics of Human Visual System HVS.
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Skip to Main Content. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. Use of this web site signifies your agreement to the terms and conditions. Image contrast enhancement in spatial domain using fuzzy logic based interpolation method Abstract: Contrast enhancement is one of the most important issue of image processing. Contrast enhancement can be done in spatial domain or in frequency domain; in spatial domain, the pixel intensity data of the image is mapped to new intensity level via an intensity level transformation function.
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Real-Life Applications of Fuzzy Logic

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Her research interests are in Image Processing and Computer Vision. She has published over eighty papers and she is a referee of international journals and conferences. In she received her degree in Informatics from the University of Bari. In she got a Ph. Her research interests are mainly focused on Computational Intelligence, with special focus on fuzzy systems, neural networks, neuro-fuzzy modeling, fuzzy clustering, granular computing, fuzzy image processing.
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