Title :
Improved Video Denoising Algorithm Based on Spatial-Temporal Combination
Author :
Wang Hong-Zhi ; Chen Ling ; Xu Shu-Liang
Author_Institution :
Coll. of Comput. Sci. & Eng., Changchun Univ. of Technol., Changchun, China
Abstract :
An algorithm of video denoising based on spatial-temporal combination is proposed to improve the video quality. This algorithm can adaptively distinguish the still regions from the motion regions of video frames by bilateral motion detection of multiple frames, where temporal bilateral Kalman filtering is applied to the still regions and spatial bilateral adaptive Nonlocal means (ANL) filtering is applied to the motion regions. Experimental results show that by making full use of the spatial-temporal information of video, the proposed algorithm can significantly improve the peak signal-to-noise ratio (PSNR) and the subjective video quality without movement ghosting. Besides, the speed of video denoising can be accelerated by bilateral filtering.
Keywords :
Kalman filters; adaptive filters; image denoising; image motion analysis; video signal processing; ANL filtering; PSNR; bilateral motion detection; improved video denoising algorithm; motion regions; movement ghosting; peak signal-to-noise ratio; spatial bilateral adaptive nonlocal mean filtering; spatial-temporal combination; spatial-temporal video information; still regions; temporal bilateral Kalman filtering; video frames; video quality; Kalman filters; Motion detection; Noise reduction; PSNR; Signal processing algorithms; Video sequences; bilateral ANL filtering; bilateral Kalman filtering; bilateral motion detection; spatial-temporal combination;
Conference_Titel :
Image and Graphics (ICIG), 2013 Seventh International Conference on
Conference_Location :
Qingdao
DOI :
10.1109/ICIG.2013.19