DocumentCode
2735809
Title
Research on the restoration of motion-blurred images of Ochotona curzoniae
Author
Chen, Hai-yan ; Cao, Ming-hua ; Wang, Hui-qin ; Hu, Jia-qi ; Hu, Wen-tao
Author_Institution
Sch. of Comput. & Commun., Lanzhou Univ. of Technol., Lanzhou, China
fYear
2011
fDate
21-23 Oct. 2011
Firstpage
147
Lastpage
150
Abstract
Ochotona curzoniae is one of the main creature calamities in the Qinghai-Tibet Plateau. With the development of advanced biological recognition technologies, a new scientific method is provided for the Ochotona curzoniae´s research using an automatic identification system of this animal. 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 images of Ochotona curzoniae are studied and implemented. These motion blurred images are restored by the methods of inverse filter and Wiener filter to improve the quality of the image of Ochotona curzoniae to better carry out the follow-up feature extraction and target recognition.
Keywords
Wiener filters; biology computing; feature extraction; image motion analysis; image recognition; image registration; image restoration; video signal processing; zoology; Ochotona curzoniae; Wiener filter; animal; automatic identification system; biological recognition technology; blur elimination; creature calamities; degradation model; feature extraction; image acquisition; inverse filter; motion-blurred image restoration; relative motion; target recognition; video camera; Cameras; Degradation; Image restoration; Noise; Rodents; Target recognition; Wiener filter; Ochotona curzoniae; image restoration; motion-blurred;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Analysis and Signal Processing (IASP), 2011 International Conference on
Conference_Location
Hubei
Print_ISBN
978-1-61284-879-2
Type
conf
DOI
10.1109/IASP.2011.6109017
Filename
6109017
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