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《Journal of Data Acquisition and Processing》 2011-01
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Blind Super-resolution Image Reconstruction Based on Multiframe Video Sequence

Xie Wei1,Chen Hao2,Qin Qianqing2,3(1.Computer School,Wuhan University,Wuhan,430079,China;2.National Engineering Research Center for Multimedia Software,Wuhan University,Wuhan,430079,China;3.State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan,430079,China)  
A blind super-resolution algorithm and the framework based on multiframe are proposed to solve low-resolution problem.Firstly,the observed low-resolution video frames are preprocessed.Then,the relative motions of them are estimated.Finally,the projection iteration is adopted step by step to reconstruct a high-resolution image under the condition but monitoring system model and related parameters are unknown.Some real video monitoring images are used in the experiments and the proposed algorithm is evaluated through subjective feelings and a variety of objective indicators.Results show that the spatial resolutions of reconstructed images are improved and the edge information is recovered.The algorithm is proved to be robust and effective.
【Fund】: 湖北省自然科学基金重点(2009CDA141)资助项目;; 国家“九七三”计划基金(2006CB701303)资助项目;; 国家高技术研究发展计划(“八六三”计划)基金(2006AA12Z132)资助项目
【CateGory Index】: TP391.41
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