Progress of algorithms used in ghost imaging

doi:10.3969/j.issn.1007-5461.2022.06.004

Abstract

Abstract: Optical imaging is one of the most important techniques for information acquisition. Ghost imaging is a novel technique based on high-order correlation of the light field, which can reconstruct the two-dimension image of objects using only a single pixel detector. It has advantages of object-image separation, high imaging sensitivity and strong robustness, then promises new opportunities and prospects for the development of optical imaging. However, the imaging mode based on multi-frame cumulation takes time to obtain the image, which severely limits the efficiency of image acquisition. In order to solve this problem, research on efficient reconstruction algorithm is one of the most practical methods to improve the imaging quality and imaging efficiency besides the optimization designs of system structure, light source and detection. A good reconstruction algorithm can not only greatly reduce the number of measurements required for imaging, improve the efficiency of information extraction and quality of reconstructed image, but also reduce the requirement of hardware. In recent years, there are many different kinds of reconstruction algorithms developed. In this paper, the principle and mechanism of ghost imaging are briefly reviewed and then the basic principles of several algorithms of ghost imaging are introduced systematically.

Key words: quantum optics, ghost imaging, intensity correlation, pseudo-inverse algorithm, deep-learning

CLC Number:

O431.2

LIN Huizu , ∗ , LIU Weitao , ∗ , SUN Shuai , , DU Longkun , , CHANG Chen , , LI Yuegang , . Progress of algorithms used in ghost imaging[J]. Chinese Journal of Quantum Electronics, 2022, 39(6): 863-879.

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