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Proceedings Paper

Micro-scanning x-ray imaging system super-resolution reconstruction algorithm
Author(s): Mei-Jing Gao; Ming Yang; Zhen-Long Zu; Jie Xu; Wei Xu
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Paper Abstract

To improve the spatial resolution of X-ray imaging systems, optical micro-scanning technology was taken into the existing system and the optical micro-scanning X-ray imaging systems is obtained. We can get a low-resolution X-ray image sequence by this system and then reconstruct high-resolution X-ray image. The inaccurate estimates of registration parameters, the inaccurate estimates of the point spread function and the additive Gaussian noise in the lowresolution (LR) image sequence will result in different noise level for each frame and influence the effects of reconstruction. This paper proposed an image super-resolution algorithm for different error levels Per frame, the LR frames are adaptively weighted according to their reliability and the regularization parameter. And then we complete the super-resolution reconstruction. The simulation and experiment results shows the effectiveness of the proposed algorithm.

Paper Details

Date Published: 20 February 2018
PDF: 8 pages
Proc. SPIE 10697, Fourth Seminar on Novel Optoelectronic Detection Technology and Application, 1069704 (20 February 2018); doi: 10.1117/12.2305892
Show Author Affiliations
Mei-Jing Gao, Yanshan Univ. (China)
Ming Yang, Yanshan Univ. (China)
Zhen-Long Zu, Yanshan Univ. (China)
Jie Xu, Yanshan Univ. (China)
Wei Xu, Yanshan Univ. (China)

Published in SPIE Proceedings Vol. 10697:
Fourth Seminar on Novel Optoelectronic Detection Technology and Application
Weiqi Jin; Ye Li, Editor(s)

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