Efficient implementation of x-ray ghost imaging based on a modified compressive sensing algorithm

被引：12

作者：

Zhang, Haipeng ^{[1
,2
,3
]}

Li, Ke ^{[2
]}

Zhao, Changzhe ^{[1
,2
,3
]}

Tang, Jie

Xiao, Tiqiao ^{[1
,2
,3
]}

机构：

[1] Chinese Acad Sci, Shanghai Inst Appl Phys, Shanghai 201800, Peoples R China

[2] Chinese Acad Sci, Shanghai Adv Res Inst, Shanghai Synchrotron Radiat Facil, Zhangjiang Lab, Shanghai 201204, Peoples R China

[3] Univ Chinese Acad Sci, Beijing 100049, Peoples R China

来源：

CHINESE PHYSICS B | 2022年 / 31卷 / 06期

基金：

中国国家自然科学基金;

关键词：

x-ray ghost imaging; modified compressive sensing algorithm; real-time x-ray imaging; PSEUDO-INVERSE; VISIBILITY;

D O I：

10.1088/1674-1056/ac48f7

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

Towards efficient implementation of x-ray ghost imaging (XGI), efficient data acquisition and fast image reconstruction together with high image quality are preferred. In view of radiation dose resulted from the incident x-rays, fewer measurements with sufficient signal-to-noise ratio (SNR) are always anticipated. Available methods based on linear and compressive sensing algorithms cannot meet all the requirements simultaneously. In this paper, a method based on a modified compressive sensing algorithm with conjugate gradient descent method (CGDGI) is developed to solve the problems encountered in available XGI methods. Simulation and experiments demonstrate the practicability of CGDGI-based method for the efficient implementation of XGI. The image reconstruction time of sub-second implicates that the proposed method has the potential for real-time XGI.

引用

页数：9

共 33 条

[1]

[Anonymous], 2011, Groundswell: Winning in a world transformed by social technologies

[2] Atomic decomposition by basis pursuit [J].