Abstract
This paper presents an algorithm to remove random impulse noise in a digital grayscale image based on fuzzy logic approach. Numbers of filters are used to remove noise using fuzzy rules. Filter window used the local statistic to determine local weighted mean. Pixel that are detected noisy are filtered, other pixels are remain unchanged. Experimental results show that this method has better performance than other state of the art filters. The effectiveness of this method is 44.95 in terms of peak-signal-to-noise-ratio.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Transactions on Machine Learning and Artificial Intelligence
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
