Amanpreet Singh

Work place: Department of Computer Science & Engineer, Guru Nanak Dev University Amritsar (Punjab), India



Research Interests: Computer systems and computational processes, Image Compression, Image Manipulation, Image Processing, Data Structures and Algorithms


Amanpreet Singh: B.Tech (CSE), currently pursuing M.Tech (CSE) from Guru Nanak Dev University, Amritsar, interested in Multimedia and image processing.

Author Articles
Digital Image Enhancement with Fuzzy Interface System

By Amanpreet Singh Preet Inder Singh Prabhpreet Kaur

DOI:, Pub. Date: 8 Sep. 2012

Present day application requires various version kinds of images and pictures as sources of information for interpretation and analysis. Whenever an image is converted from one form to another, such as, digitizing, scanning, transmitting, storing, etc. Some form of degradation occurs at the output. Hence, the output image has to undergo a process called image enhancement which consist of a collection of techniques that seeks to improve the visual appearances of an image. Image enhancement technique is basically improving the perception of information in images for human viewers and providing 'better' input for other automated image processing techniques. This thesis presents a new approach for image enhancement with fuzzy interface system. Fuzzy techniques can manage the vagueness and ambiguity efficiently (an image can be represented as fuzzy set). Fuzzy logic is a powerful tool to represent and process human knowledge in form of fuzzy if-then rules. Compared to other filtering techniques, fuzzy filter gives the better performance and is able to represent knowledge in a comprehensible way.

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