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  • Received: Sep. 18, 2019

    Accepted: Sep. 27, 2019

    Posted: Feb. 1, 2020

    Published Online: Feb. 20, 2020

    The Author Email: Yang Fengbao (yfengb@163.com)

    DOI: 10.3788/LOP57.041019

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    Guoqing Yan, Fengbao Yang, Xiaoxia Wang, Yong Tao. Computational Ghost Imaging Based on Orthogonal Sinusoidal Speckle[J]. Laser & Optoelectronics Progress, 2020, 57(4): 041019

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Laser & Optoelectronics Progress, Vol. 57, Issue 4, 041019 (2020)

Computational Ghost Imaging Based on Orthogonal Sinusoidal Speckle

Yan Guoqing, Yang Fengbao*, Wang Xiaoxia, and Tao Yong

Author Affiliations

  • College of Information and Communication Engineering, North University of China, Taiyuan, Shanxi 030051, China

Abstract

A computational ghost imaging method based on orthogonal sinusoidal speckle was proposed herein to solve the problem of low signal-to-noise ratio caused by the non-orthogonality of random speckle distributions. This method combines the orthogonal property of a matrix, superimposes two orthogonal oblique sinusoidal distribution patterns, and constructs an orthogonal sinusoidal speckle field to image unknown targets by adjusting the upper-frequency limit. Experimental results and numerical simulations show that the ghost image quality obtained by the proposed method has significantly improved as compared with that obtained by the computational ghost imaging based on the Gaussian speckle pattern, and the peak of signal-to-noise ratio is increased by 4 dB--7 dB. Furthermore, the structural similarity is improved by 280%.

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