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Proceedings Paper

Restoration of the infrared image blurred by motion
Author(s): Ningming Wang; Jing Wang; Yazhou Zhang; Xianzhong Sun
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Paper Abstract

Restoring blurred image,as one of the hot issues in the field of image processing,has important significance in improving the image quality. In recent years, a variety of methods for removing motion blur of an image have been proposed, but most of the algorithms are too complex and not applied. This paper educes an efficient algorithm for motion-blurred image. According the temporal profile of the infrared detector, point spread function (PFS) of the uniform linear motion-blurred image is discussed. The profile of the PSF is acquired by iterative Weiner-filter. Experimental results show that the method has accurate and applied performance for infrared blurred image got from actual system.

Paper Details

Date Published: 8 March 2017
PDF: 5 pages
Proc. SPIE 10255, Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016, 102554Q (8 March 2017); doi: 10.1117/12.2268426
Show Author Affiliations
Ningming Wang, Science and Technology on Optical Radiation Lab. (China)
Jing Wang, Science and Technology on Optical Radiation Lab. (China)
Yazhou Zhang, Science and Technology on Optical Radiation Lab. (China)
Xianzhong Sun, Science and Technology on Optical Radiation Lab. (China)


Published in SPIE Proceedings Vol. 10255:
Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016
Yueguang Lv; Jialing Le; Hesheng Chen; Jianyu Wang; Jianda Shao, Editor(s)

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