针对随机散斑图的非正交性所导致的计算鬼成像信噪比低的问题,提出一种基于正交化正弦散斑的计算鬼成像方法。该方法结合矩阵正交特性,将正交的两种倾斜正弦分布图案叠加,以调整频率上限的方式构建出正交化正弦散斑场,并对未知目标进行成像。数值仿真及实验结果表明,与基于高斯散斑图的计算鬼成像相比,本文方法重建的鬼像质量明显提高,其中峰值信噪比增加了4 dB~7 dB,且结构相似性提高了280%。

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%.