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基于时域和空域混合的低信噪比视频降噪算法及其分析
引用本文:宋博,徐超,金伟其,刘效东.基于时域和空域混合的低信噪比视频降噪算法及其分析[J].红外技术,2011,33(8):489-494.
作者姓名:宋博  徐超  金伟其  刘效东
作者单位:1. 北京理工大学光电学院,“光电成像技术与系统”教育部重点实验室,北京100081
2. 江苏北方湖光光电有限公司,江苏无锡,214035
基金项目:总装十二五预研项目:“微光夜视技术”国防重点实验室基金项目(编号:J20110501)
摘    要:论述了几种基于时域和空域混合的对低信噪比视频图像进行降噪处理的算法.考虑单独使用时域或空域降噪算法对视频图像进行处理的缺点和不足.在时域上,由于视频图像帧与帧之间有较强的相关性,采用递归加权算法;在空域上,分别采用第二代Curvelet变换理论的Wrap算法( Wrapping-Based Transform)、全变差...

关 键 词:低信噪比  视频图像降噪  时空域联合

The Analysis of Low SNR Video Denoising Algorithms Using Temporal Domain and Spatial Domain Mixture Methods
SONG Bo,XU Chao,JIN Wei-qi,LIU Xiao-dong.The Analysis of Low SNR Video Denoising Algorithms Using Temporal Domain and Spatial Domain Mixture Methods[J].Infrared Technology,2011,33(8):489-494.
Authors:SONG Bo  XU Chao  JIN Wei-qi  LIU Xiao-dong
Affiliation:SONG Bo1,XU Chao1,JIN Wei-qi1,LIU Xiao-dong2(1.School of Optoelectronics,Beijing Institute of Technology,Key Laboratory of Photoelectronic Imaging Technology and System,Ministry of Education of China,Beijing 100081,China,2.Jiangsu North Huguang Optical and Electroical Co.,LTD,Wuxi 214035,China)
Abstract:This paper presents several mixture methods based on temporal domain and spatial domain of low SNR video denoising algorithms.The new methods take into account separately the insufficiency of temporal domain or spatial domain video denoising algorithm.In temporal domain,there is a strong link between video image frames and frames,so we adopt the recursive weighting algorithm.In spatial domain,we adopt Curvelet Transform theory of second generation algorithm(Wrap Wrapping-Based Transform),Total Variation(TV)...
Keywords:low SNR  video denoising  spatio-temporal domain combination  
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