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arXiv · 2009.14390

Anti-interference Computational Ghost Imaging with Pink Noise Speckle Patterns

Xiaoyu Nie·Fan Yang·Xiangpei Liu·Xingchen Zhao·Reed Nessler·Tao Peng·M. Suhail Zubairy·Marlan O. Scully
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Abstract

We propose a computational ghost imaging scheme using customized pink noise speckle pattern illumination. By modulating the spatial frequency amplitude of the speckles, we generate speckle patterns with a significant positive spatial correlation. We experimentally reconstruct images using our synthesized speckle patterns in the presence of a variety of noise sources and pattern distortion and shown it is robust to noise interference. The results are compared with the use of standard white noise speckle patterns. We show that our method gives good image qualities under different noise interference situations while the traditional way fails. The proposed scheme promises potential applications in underwater, dynamic, and moving target computational ghost imaging.

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Xiaoyu Nie, Fan Yang, Xiangpei Liu, Xingchen Zhao, Reed Nessler, Tao Peng, M. Suhail Zubairy, Marlan O. Scully. 2020-09-30. Anti-interference Computational Ghost Imaging with Pink Noise Speckle Patterns. https://doi.org/10.1103/physreva.104.013513

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