Efficient implementation of x-ray ghost imaging based on a modified compressive sensing algorithm
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作者
Zhang, Haipeng; Li, Ke; Zhao, Changzhe; Tang, Jie; Xiao, Tiqiao
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刊物名称
CHINESE PHYSICS B
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年、卷、文献号
2022, 31, 1674-1056
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关键词
Zhang, Haipeng; Li, Ke; Zhao, Changzhe; Tang, Jie; Xiao, Tiqiao
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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.
