Digital Image Enhancement with Fuzzy Interface System

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Amanpreet Singh 1,* Preet Inder Singh 2 Prabhpreet Kaur 1

1. Department of Computer Science & Engineer, Guru Nanak Dev University Amritsar (Punjab), India

2. Department of Computer Science & Engineering, Lovely Professional University (Punjab), Phagwara

* Corresponding author.


Received: 17 Mar. 2012 / Revised: 1 Jul. 2012 / Accepted: 4 Aug. 2012 / Published: 8 Sep. 2012

Index Terms

Fuzzy Interface System, Digital Image, Scanning, Membership Function (MF), Fuzification, De-fuzification


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.

Cite This Paper

Amanpreet Singh, Preet Inder Singh, Prabhpreet Kaur, "Digital Image Enhancement with Fuzzy Interface System", International Journal of Information Technology and Computer Science(IJITCS), vol.4, no.10, pp.51-56, 2012. DOI:10.5815/ijitcs.2012.10.06


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