Title :
A Video Denoising Algorithm in Wavelet Domain
Author :
Yu, Ming ; Tian, Xiaohong ; Guo, Yingchun ; Qi, Hongzhi
Author_Institution :
Sch. of Inf. & Eng., Hebei Univ. of Technol., Tianjin, China
Abstract :
Video surveillance images are always contaminated by noise. In order to improve the quality of the images for further processing, it is necessary to denoise. The paper takes advantages of the characteristics of wavelet and Wiener filtering, proposes a kind of image de-noising algorithm. Compared with wavelet threshold de-noising algorithm and spatial Wiener filtering, it can improve PSNR efficiently and keep image edge information.
Keywords :
Wiener filters; image denoising; video signal processing; video surveillance; wavelet transforms; Wiener filtering; image denoising algorithm; video denoising algorithm; video surveillance images; wavelet domain; wavelet threshold denoising algorithm; Additive white noise; Colored noise; Filtering algorithms; Gaussian noise; Image denoising; Noise reduction; PSNR; Wavelet coefficients; Wavelet domain; Wiener filter; PSNR; spatial wiener filtering; video surveillance; wavelet threshold de-noising;
Conference_Titel :
Intelligent Networks and Intelligent Systems, 2009. ICINIS '09. Second International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-5557-7
Electronic_ISBN :
978-0-7695-3852-5
DOI :
10.1109/ICINIS.2009.82
