Title :
Video denoising using fuzzy-connectedness principles
Author :
Ling, Wing-Kuen ; Tam, P.K.S.
Author_Institution :
Dept. of Electron. & Inf. Eng., Hong Kong Polytech., Kowloon, China
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
Keywords :
AWGN; fuzzy systems; image segmentation; impulse noise; video signal processing; Wiener filter; additive white Gaussian noise; fuzzy system; fuzzy-connectedness principles; image segmentation; impulsive noise; median filter; signal filtering; video denoising; video signal; AWGN; Additive noise; Additive white noise; Fuzzy systems; Gaussian noise; Image segmentation; Noise reduction; Pixel; Video signal processing; Wiener filter;
Conference_Titel :
Intelligent Multimedia, Video and Speech Processing, 2001. Proceedings of 2001 International Symposium on
Conference_Location :
Hong Kong
Print_ISBN :
962-85766-2-3
DOI :
10.1109/ISIMP.2001.925450
