DocumentCode :
1656971
Title :
Adaptive fuzzy filter algorithm for real-time video denoising
Author :
Jing Wu ; Xin Du ; Yun-fang Zhu ; Gu Wei-kang
Author_Institution :
Dept. of Inf. & Electron. Eng., Zhejiang Univ., Hangzhou
fYear :
2008
Firstpage :
1287
Lastpage :
1291
Abstract :
In order to improve the perceptual quality and the compression efficiency in video transition, a new adaptive fuzzy filter algorithm for real-time Gaussian noise removal is proposed. Based on the analysis of noise and video properties, it exploits the spatiotemporal neighbor information through noise estimation, motion detection, and spatiotemporal neighborspsila similarity measurement. Then, an adaptive fuzzy filter is applied to remove noise. Experimental results showed that the proposed method achieved better performances of noise removal and detail preservation. Compared with other methods, PSNR of the denoised video was improved 1~ 6 dB. And, benefited from its low complexity and fast computation, it could meet the real-time requirements of the video transition.
Keywords :
Gaussian noise; adaptive filters; fuzzy set theory; image denoising; image motion analysis; spatiotemporal phenomena; video signal processing; Gaussian noise; adaptive fuzzy filter algorithm; motion detection; noise estimation; perceptual quality; real-time video denoising; spatiotemporal information; Adaptive filters; Gaussian noise; Information analysis; Motion detection; Motion estimation; Motion measurement; Noise reduction; PSNR; Spatiotemporal phenomena; Video compression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2008. ICSP 2008. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2178-7
Electronic_ISBN :
978-1-4244-2179-4
Type :
conf
DOI :
10.1109/ICOSP.2008.4697367
Filename :
4697367
Link To Document :
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