A novel video denoising method based on total variation and recursive temporal filtering

被引：0
作者：
Yahya, Ali Abdullah [1 ]
Tan, Jieqing [1 ]
Li, Lian [1 ]
Hu, Min [1 ]
机构：
[1] School of Computer and Information, Hefei University of Technology, Hefei
来源：
Journal of Information and Computational Science | 2015年 / 12卷 / 13期
基金：
中国国家自然科学基金;
关键词：
Motion Area; Motion Detector; Static Area; Temporal Filter; Total Variation;
D O I：
10.12733/jics20106486
中图分类号：
学科分类号：
摘要：
In this paper a novel video denoising method based on Total Variation (TV) and temporal filtering is proposed. In the proposed model the motion detector is applied and the area quality is taken into consideration. The proposed model has the capability to acclimate in each area in accordance with the area information. More accurately, less noise removal is carried out in the areas where the motion has been detected and vice versa. In our video denoising scheme, noise removal is accomplished as follows. Firstly, the TV filter is applied to the previously denoised frame and current noisy frame to minimize the blurring. Secondly, the temporal filter is performed to the total variation's output for more improvement. Thirdly, the motion detector and recursive time-average are applied for more noise suppression. The experimental results have demonstrated the superiority of the proposed model in terms of noise removal and edges preservation as compared with some well-known methods. ©, 2015, Journal of Information and Computational Science. All right reserved.
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页码：5063 / 5071
页数：8
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