Amanpreet SinghPreet Inder SinghPrabhpreet Kaur
Present day application requires various version kinds of images and pictures as sources of informat ion for interpretation and analysis.Whenever an image is converted fro m one form to another, such as, digitizing, scanning, transmitting, storing, etc.So me 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 informat ion in images for hu man viewers and providing 'better' input for other automated image processing techniques.This thesis presents a new approach for image enhancement with fuzzy interface system.Fu zzy 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.Co mpared to other filtering techniques, fuzzy filter gives the better performance and is able to represent knowledge in a co mprehensible way.
Mozammel ChowdhuryMd. Ezharul IslamNasima BegumMd. Al-Amin Bhuiyan
Kumud SaxenaAvinash PokhriyalSushma Lehri