Restoration of Single pixel imaging in atmospheric turbulence by Fourier filter and CGAN

As a novel computational imaging (CI) method, single pixel imaging (SPI) can obtain the spatial information of the target object with only a single-pixel detector, especially the SPI with Fourier basis has higher imaging efficiency and quality. However, Fourier single-pixel imaging (FSI) will still...

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Bibliographic Details
Published inApplied physics. B, Lasers and optics Vol. 127; no. 3
Main Authors Leihong, Zhang, Zhixiang, Bian, Hualong, Ye, Zhaorui, Wang, Kaimin, Wang, Dawei, Zhang
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2021
Springer Nature B.V
Subjects
Applied physics
Atmospheric turbulence
Engineering
Image quality
Image restoration
Lasers
Optical Devices
Optics
Photonics
Physical Chemistry
Physics
Physics and Astronomy
Pixels
Quantum Optics
Spatial data
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Summary:As a novel computational imaging (CI) method, single pixel imaging (SPI) can obtain the spatial information of the target object with only a single-pixel detector, especially the SPI with Fourier basis has higher imaging efficiency and quality. However, Fourier single-pixel imaging (FSI) will still be affected in atmospheric turbulence, imaging will be unstable, and image quality will decrease. This paper first uses the phase screen method to simulate atmospheric turbulence, and then in the FSI process, the Fourier coefficients are processed to filter noise in the Fourier domain to reduce the impact of turbulence on imaging. Then we use the conditional generative adversarial network (CGAN) of deep learning methods to further improve the clarity and quality of the restored image.
ISSN:0946-2171
1432-0649
DOI:10.1007/s00340-021-07596-8