The implementation on the restoration of motion-blurred images of ochotona curzoniae
Chen, Hai-Yan; Cao, Ming-Hua; Wang, Hui-Qin; Ying, Lin; Lan, Ma
2013
会议名称2013 International Conference on Information Technology and Applications, ITA 2013
会议录名称Proceedings - 2013 International Conference on Information Technology and Applications, ITA 2013
页码72-75
会议日期November 16, 2013 - November 17, 2013
会议地点Chengdu, China
出版者IEEE Computer Society
摘要Ochotona curzoniae is one of the main creature calamities in Qinghai-Tibet Plateau. With the development of advanced biological recognition technologies, a new scientific method is provided for the Ochotona curzoniae's research using the automatic identification system of the Ochotona curzoniae. But due to the relative motion between the object and the video camera, the obtained image of Ochotona curzoniae is often blurred in the process of image acquisition. The technology of image restoration can eliminate the blur of image and improve the quality of image. In this paper, on the basis of the analysis of the degradation model of motion blurred image and the restoration process of motion blurred image, the methods of image restoration of motion blurred image of Ochotona curzoniae are studied and implemented. The motion blurred images of Ochotona curzoniae are restored by the methods of inverse filter, Wiener filter and constrained least squares to improve the quality of the image of Ochotona curzoniae to better carry out the follow-up feature extraction and target recognition. © 2013 IEEE.
关键词Automation Image enhancement Least squares approximations Restoration Technology transfer Video cameras Automatic identification system Biological recognition Constrained least squares Motion blurred image Motion-blurred Ochotona curzoniae Qinghai Tibet plateau Restoration process
DOI10.1109/ITA.2013.23
收录类别EI
语种英语
EI入藏号20140817339995
EI主题词Image reconstruction
来源库Compendex
分类代码716.4 Television Systems and Equipment - 731 Automatic Control Principles and Applications - 921.6 Numerical Methods
引用统计
被引频次[WOS]:0   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符https://ir.lut.edu.cn/handle/2XXMBERH/117529
专题计算机与通信学院
作者单位School of Computer and Communication, Lanzhou University of Technology, Lanzhou, China
第一作者单位兰州理工大学
推荐引用方式
GB/T 7714
Chen, Hai-Yan,Cao, Ming-Hua,Wang, Hui-Qin,et al. The implementation on the restoration of motion-blurred images of ochotona curzoniae[C]:IEEE Computer Society,2013:72-75.
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