Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/37668
Title: Video denoising using fuzzy-connectedness principles
Authors: Ling, WK
Tam, PKS
Keywords: AWGN
Fuzzy systems
Image segmentation
Impulse noise
Video signal processing
Issue Date: 2001
Source: Proceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, 2001, 02 May 2001-04 May 2001, Hong Kong, p. 531-534 How to cite?
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
URI: http://hdl.handle.net/10397/37668
ISBN: 962-85766-2-3
DOI: 10.1109/ISIMP.2001.925450
Appears in Collections:Conference Paper

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