NDLI: Improved Video Denoising Algorithm Based on Spatial-Temporal Combination

Content Provider	IEEE Xplore Digital Library
Author	Wang Hong-Zhi Chen Ling Xu Shu-Liang
Copyright Year	2013
Description	Author affiliation: Coll. of Comput. Sci. & Eng., Changchun Univ. of Technol., Changchun, China (Wang Hong-Zhi; Chen Ling; Xu Shu-Liang)
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.
Starting Page	64
Ending Page	67
File Size	451250
Page Count	4
File Format	PDF
ISBN	9780769550503
DOI	10.1109/ICIG.2013.19
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	spatial-temporal combination bilateral motion detection PSNR Noise reduction Video sequences Signal processing algorithms Motion detection Kalman filters bilateral ANL filtering bilateral Kalman filtering
Content Type	Text
Resource Type	Article

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