Positive-negative nonlocal lensless imaging based on statistical optics
Positive-negative nonlocal lensless imaging based on statistical optics
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基于统计光学的正负非局部无透镜成像
DOI：
10.7498/aps.62.154201
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发表时间：
2013-08
影响因子：
1
通讯作者：
Zhang Tong-Yi
中科院分区：
文献类型：
--
作者：
Wan Ren-Gang;Xue Yu-Lang;Zhang Shi-Wei;Zhang Tong-Yi
基于伪热光的相关成像，Wu和Meyers独立地实验证明，使用一种新的算法可以获得正负像。利用统计光学理论，建立了热光模型，并给出了新的图像重建算法。为了处理相关成像中获得的数据，我们根据起伏的大小对桶探测器记录的强度进行了重新排序。对于给定的波动范围，所有记录都在特定值以上或以下，我们可以通过计算桶检测器和参考检测器所选记录之间的相关性来获得正或负图像。然而，在没有相关计算的情况下，也可以通过直接平均具有正或负波动的参考探测器的相应记录来产生正或负图像。同时，成像的可见性大大增强。这种对应的成像方法进一步证明了强度起伏在热光非局域成像中的重要性。我们还分别实验展示了相关法和正负对应成像法得到的图像。实验结果表明，该算法比传统的相关成像算法具有更好的可见性。
Based on correlated imaging with pseudo-thermal light, Wu and Meyers independently experimentally showed that both positive and negative images can be obtained by using a novel algorithm. With the theory of statistical optics, we construct the model of thermal light, and demonstrate the novel algorithm for image reconstruction. To deal with the data attained in the correlated imaging, we reorder the intensity recorded by the bucket detector according to the value of fluctuation. For a given fluctuation range with all the records above or below a specific value, we can obtain either positive or negative images by calculate the correlation between the selected records of the bucket detector and the reference detector. Nevertheless, without correlated calculations, positive or negative images can be also produced by directly averaging the corresponding records of the reference detector with positive or negative fluctuations. Meanwhile, the visibility of imaging is greatly enhanced. This correspondence imaging method further demonstrates the importance of intensity fluctuations in the nonlocal imaging with thermal light. We also experimentally show the images that obtained by the correlation method and the positive-negative correspondence imaging method, respectively. Our results indicate that this novel algorithm has a better visibility than that of the conventional correlated imaging.