Open AccessA Novel Approach to Image Enhancement Based on Fuzzy Logic
Author(s) -
Anissa Selmani,
Hassene Seddik,
Moussa Mzoughi
Publication year - 2021
Publication title -
international journal of fuzzy systems and advanced applications
Language(s) - English
Resource type - Journals
ISSN - 2313-0512
DOI - 10.46300/91017.2021.8.2
Subject(s) - median filter , artificial intelligence , filter (signal processing) , fuzzy logic , computer vision , noise reduction , noise (video) , computer science , image (mathematics) , image enhancement , image noise , image processing , image denoising , grayscale , pattern recognition (psychology) , algorithm
Image filtering, which removes or reduces noises from the contaminated images, is an important task in image processing. This paper presents a novel approach to the problem of noise reduction for gray-scale images. The proposed technique is able to remove the noise component, while adapting itself to the local noise intensity. In this way, the proposed algorithm can be considered as a modification of the median filter driven by fuzzy membership functions. Experimental results are compared to static median filter by numerical measures and visual inspection. As was expected, the new filter shows better performances.