Robust Video Denoising by Low-rank Decomposition and Modeling Noises with Mixture of Gaussian

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	Robust Video Denoising by Low-rank Decomposition and Modeling Noises with Mixture of Gaussian
	Shen GP(沈贵萍); Han Z(韩志); Tang YD(唐延东)
	2014
会议名称	2014 International Conference on Robotics and Biomimetics (ROBIO 2014)
会议日期	December 5-10, 2014
会议地点	Bali, Indonesia
页码	2226-2231
通讯作者	沈贵萍
中文摘要	This paper introduces a new approach for video denoising. Based on the idea of patch based low rank matrix completion, we improve the method by modeling noises with Mixture of Gaussians (MoG). By utilizing a series of different Gaussian distributions to fit the representation of video noises without any assumptions on the statistical properties, the parameters of MoG are learned from video data automatically. It can deal with the fact that for most of the time, the real distribution of noises appeared in videos are unknown so that traditional methods do not work well without any priori knowledge. After the model and algorithm statements, we provide a group of experiments on real videos for comparisons with the state-of-art video denoising algorithm, which demonstrates the effectiveness and advantage of our approach.
收录类别	EI ; CPCI（ISTP）
产权排序	1
会议录	2014 International Conference on Robotics and Biomimetics (ROBIO 2014)
会议录出版者	IEEE
会议录出版地	Piscataway, NJ, USA
语种	英语
ISBN号	978-1-4799-7396-5
WOS记录号	WOS:000380399500371
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/15409]
专题	沈阳自动化研究所_机器人学研究室
推荐引用方式 GB/T 7714	Shen GP,Han Z,Tang YD. Robust Video Denoising by Low-rank Decomposition and Modeling Noises with Mixture of Gaussian[C]. 见:2014 International Conference on Robotics and Biomimetics (ROBIO 2014). Bali, Indonesia. December 5-10, 2014.