CORC  > 兰州理工大学  > 兰州理工大学  > 计算机与通信学院
The implementation on the restoration of motion-blurred images of Ochotona Curzoniae
Chen Hai-yan; Cao Ming-hua; Wang Hui-qin; Lin Ying; Ma Lan
2013
关键词Ochotona curzoniae motion-blurred image restoration constrained least squares
DOI10.1109/ITA.2013.23
页码72-75
英文摘要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 cam out the follow-up feature extraction and target recognition.
会议录2013 INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND APPLICATIONS (ITA)
会议录出版者IEEE COMPUTER SOC
会议录出版地10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA
语种英语
WOS研究方向Computer Science
WOS记录号WOS:000342214600018
内容类型会议论文
源URL[http://119.78.100.223/handle/2XXMBERH/36954]  
专题计算机与通信学院
通讯作者Chen Hai-yan
作者单位Lanzhou Univ Technol, Sch Comp & Commun, Lanzhou, Peoples R China
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]. 见:.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace