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Open AccessArticle

Experimental Investigation of Anisotropic Diffusion Applied in Ghost Imaging Reconstruction

1
State Key Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun 130012, China
2
Shanhe-Gensheng Technology Co., Ltd. of Jilin Province, Jilin 132011, China
3
Key Laboratory for Quantum Optics and Center for Cold Atom Physics of CAS, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China
*
Authors to whom correspondence should be addressed.
Appl. Sci. 2020, 10(18), 6437; https://doi.org/10.3390/app10186437
Received: 11 August 2020 / Revised: 2 September 2020 / Accepted: 9 September 2020 / Published: 16 September 2020
(This article belongs to the Section Optics and Lasers)
In iterative pseudo-inverse ghost imaging (IPGI), how much the noise interference item of the current iteration approximates the real noise greatly depends on the clarity of initial image. In order to improve IPGI, we propose a method that introduces anisotropic diffusion to construct a more accurate noise interference term, where anisotropic diffusion adapts to both the image and the noise, so that it balances the tradeoff between noise removal and preservation of image details. In our algorithm, the anisotropic diffusion equation is used to denoise the result of each iteration, then the denoised image is used to construct the noise interference term for the next iteration. Compared to IPGI, our method has better performance in visual effects and imaging quality, as the image edges and details are better preserved according to the experimental results. View Full-Text
Keywords: imaging processing; ghost imaging; photon statistics; quantum optics imaging processing; ghost imaging; photon statistics; quantum optics
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Gong, X.; Tao, M.; Su, G.; Li, B.; Guan, J.; Song, J.; Yu, S.; Chen, J.; Gong, W.; Gao, F. Experimental Investigation of Anisotropic Diffusion Applied in Ghost Imaging Reconstruction. Appl. Sci. 2020, 10, 6437.

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