Improving the signal-to-noise ratio of superresolution imaging based on single-pixel camera

doi:10.1109/JPHOT.2019.2891061

CORC > 光电技术研究所 > 中国科学院光电技术研究所 > 光电探测与信号处理研究室（五室）

	Improving the signal-to-noise ratio of superresolution imaging based on single-pixel camera
	Wei, Ziran 1,2,3; Zhang, Jianlin 3; Xu, Zhiyong 3; Liu, Yong 2; Huang, Yongmei 3; Fan, Xiangsuo 1,2,3
刊名	IEEE Photonics Journal
	2019-02-01
卷号	11 期号:1
关键词	Single pixel camera super resolution sparse representation measurement matrix image reconstruction
ISSN号	1943-0655
DOI	10.1109/JPHOT.2019.2891061
文献子类	期刊论文
英文摘要	Based on the theories of single-pixel camera and compressed sensing image reconstruction, the sparse basis, the projection method of measurement matrix, and the signal reconstruction algorithm are optimized. First, for the sparse representation of image, the restraint matrix is designed combining the characteristics of wavelet sparse coefficients to enhance the sparse representation ability of the discrete wavelet base, which improves the quality of image reconstruction and imaging by single-pixel camera. Then, in the single-pixel camera system, the projection method is improved according to the characteristics of the digital mirror device micromirror, and a new bilateral projection method based on the block diagonal measurement matrix is proposed to realize the superresolution imaging of the outdoor scene, reducing the number of measurement and improving the imaging quality. Finally, for the algorithm of image reconstruction, combining the characteristics of convex optimization and nonconvex optimization algorithms, a new algorithm from convex optimization approximately to nonconvex optimization algorithm is proposed, and compared with the traditional image reconstruction algorithm, such as greedy pursuit algorithm, minimum norm algorithm, and image interpolation, the peak signal-to-noise ratio and imaging quality of reconstructed images are effectively improved. The feasibility of the proposed methods is demonstrated by simulation experiments and imaging experiments of single-pixel camera. © 2018 IEEE.
WOS关键词	RECOVERY
WOS研究方向	Engineering, Electrical & Electronic ; Optics ; Physics, Applied
语种	英语
出版者	Institute of Electrical and Electronics Engineers Inc.
WOS记录号	WOS:000456943900001
内容类型	期刊论文
源URL	[http://ir.ioe.ac.cn/handle/181551/9701]
专题	光电技术研究所_光电探测与信号处理研究室（五室）
作者单位	1.University of Chinese Academy of Sciences, Beijing; 100039, China 2.School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu; 610054, China; 3.Institute of Optics and Electronics, Chinese Academy of Science, Chengdu; 610209, China;
推荐引用方式 GB/T 7714	Wei, Ziran,Zhang, Jianlin,Xu, Zhiyong,et al. Improving the signal-to-noise ratio of superresolution imaging based on single-pixel camera[J]. IEEE Photonics Journal,2019,11(1).
APA	Wei, Ziran,Zhang, Jianlin,Xu, Zhiyong,Liu, Yong,Huang, Yongmei,&Fan, Xiangsuo.(2019).Improving the signal-to-noise ratio of superresolution imaging based on single-pixel camera.IEEE Photonics Journal,11(1).
MLA	Wei, Ziran,et al."Improving the signal-to-noise ratio of superresolution imaging based on single-pixel camera".IEEE Photonics Journal 11.1(2019).