Micro-scanning x-ray imaging system super-resolution reconstruction algorithm

Mei-Jing Gao; Ming Yang; Zhen-Long Zu; Jie Xu; Wei Xu

doi:10.1117/12.2305892

20 February 2018 Micro-scanning x-ray imaging system super-resolution reconstruction algorithm

Mei-Jing Gao, Ming Yang, Zhen-Long Zu, Jie Xu, Wei Xu

Proceedings Volume 10697, Fourth Seminar on Novel Optoelectronic Detection Technology and Application; 1069704 (2018) https://doi.org/10.1117/12.2305892
Event: Fourth Seminar on Novel Optoelectronic Detection Technology and Application, 2017, Nanjing, China

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.

Citation Download Citation

Mei-Jing Gao, Ming Yang, Zhen-Long Zu, Jie Xu, and Wei Xu "Micro-scanning x-ray imaging system super-resolution reconstruction algorithm", Proc. SPIE 10697, Fourth Seminar on Novel Optoelectronic Detection Technology and Application, 1069704 (20 February 2018); https://doi.org/10.1117/12.2305892

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