@inproceedings{a4996256446d4d4c8dc777bb3d8f1e46,
title = "Micro-scanning x-ray imaging system super-resolution reconstruction algorithm",
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.",
keywords = "Adaptively weighted, Micro-scanning, Regularization, Super-resolution, X-ray imaging system",
author = "Gao, {Mei Jing} and Ming Yang and Zu, {Zhen Long} and Jie Xu and Wei Xu",
note = "Publisher Copyright: {\textcopyright} 2018 SPIE. Downloading of the abstract is permitted for personal use only.; 4th Seminar on Novel Optoelectronic Detection Technology and Application 2018 ; Conference date: 24-10-2017 Through 26-10-2017",
year = "2018",
doi = "10.1117/12.2305892",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Guofan Jin and Guangjun Zhang",
booktitle = "Fourth Seminar on Novel Optoelectronic Detection Technology and Application",
address = "United States",
}