8 March 2017 Restoration of the infrared image blurred by motion
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Proceedings Volume 10255, Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016; 102554Q (2017) https://doi.org/10.1117/12.2268426
Event: Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016, 2016, Jinhua, Suzhou, Chengdu, Xi'an, Wuxi, China
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.
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Ningming Wang, Ningming Wang, Jing Wang, Jing Wang, Yazhou Zhang, Yazhou Zhang, Xianzhong Sun, Xianzhong Sun, } "Restoration of the infrared image blurred by motion", 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; https://doi.org/10.1117/12.2268426
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