Ling, Wing-Kuen and Tam, Kwong-Shun (2001) Video denoising using fuzzy-connectedness principles. In: International Symposium on Intelligent Multimedia, Video and Speech Processing, May 2001, Hong Kong.

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Abstract

Fuzzy-connectedness principles are effective for image segmentation. In this paper, such a principle is applied to video denoising. Assume a video signal suffers from both additive white Gaussian noise and impulsive noise. The corrupted signal is filtered by a fuzzy system, which fuzzily connects a Wiener filter and a median filter together. The simulation results show that the fuzzy-connectedness approach produces desirable outputs.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	Fuzzy-connectedness principles are effective for image segmentation. In this paper, such a principle is applied to video denoising. Assume a video signal suffers from both additive white Gaussian noise and impulsive noise. The corrupted signal is filtered by a fuzzy system, which fuzzily connects a Wiener filter and a median filter together. The simulation results show that the fuzzy-connectedness approach produces desirable outputs.
Keywords:	fuzzy-connectedness principles, image segmentation, video denoising, additive white Gaussian noise, impulsive noise, Wiener filter, median filter
Subjects:	H Engineering > H610 Electronic Engineering
Divisions:	College of Sciences > Faculty of Science > Lincoln School of Engineering
Depositing User:	Wing-Kuen Ling
Date Deposited:	01 Aug 2010 20:44
Last Modified:	13 Mar 2013 08:44
URI:	http://eprints.lincoln.ac.uk/id/eprint/3129

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