Adaptive Video Denoising Based on Spatio-temporal Combination

被引：0
|
作者：
Di, Hongwei [1 ]
Zhang, Kaihan [1 ]
Gao, Hui [1 ]
机构：
[1] Jinan Univ, Inst OptoElect Engn, Guangzhou 510632, Guangdong, Peoples R China
来源：
MECHATRONICS AND INDUSTRIAL INFORMATICS, PTS 1-4 | 2013年 / 321-324卷
关键词：
Spatio-temporal Combination; Motion Detection; Adaptive Threshold; Video Denoising; Unary Linear Regression;
D O I：
10.4028/www.scientific.net/AMM.321-324.1230
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
An algorithm of adaptive video denoising base on spatio-temporal combination is demonstrated. The adaptive threshold function is obtained through unary linear regression analysis combining interval estimation and hypothesis test. By motion detection to multi-frame images, still regions and motion regions of video image are distinguished through the adaptive threshold. Temporal weighted average filter to the still regions and spatial ANL filter to the motion regions are used separately. Experimental results show that the proposed algorithm works well.
引用
收藏
页码：1230 / 1233
页数：4
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