Noise-robust computational ghost imaging with pink noise speckle patterns
Noise-robust computational ghost imaging with pink noise speckle patterns
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DOI：
10.1103/physreva.104.013513
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发表时间：
2021-07-13
影响因子：
2.9
通讯作者：
Scully, Marlan O.
中科院分区：
文献类型：
--
作者：
Nie, Xiaoyu;Yang, Fan;Scully, Marlan O.
我们提出了一个计算鬼成像（CGI）计划，使用定制的粉红噪声散斑图案照明。通过调制散斑的功率谱分布，我们产生了一个显着的正空间强度起伏相关的散斑图案。我们实验重建图像，使用我们的合成散斑图案在各种噪声源和图案失真的存在下，并显示它是鲁棒的噪声环境。与使用标准的白色噪声散斑图的结果进行了比较。我们表明，我们的方法提供了更好的图像质量下不同类型的噪声比传统的方法。该方案有望在水下、动态和运动目标CGI中得到应用。
We propose a computational ghost imaging (CGI) scheme using customized pink noise speckle pattern illumination. By modulating the power spectrum distribution of the speckles, we generate speckle patterns with a significant positive spatial intensity fluctuation correlation. We experimentally reconstruct images using our synthesized speckle patterns in the presence of a variety of noise sources and pattern distortion and show it is robust to noise environment. The results are compared with the use of standard white noise speckle patterns. We show that our method gives much better image qualities under different types of noise than the traditional way. The proposed scheme promises potential applications in underwater, dynamic, and moving target CGI.