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Imaging at a long distance often requires advanced image restoration algorithms to compensate for the distortions caused by atmospheric turbulence.
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Y. Mao and J. Gilles, · 2012
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N. Chimitt and S. H. Chan, · 2020
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N. Li, S. Thapa, C. Whyte, A. W. Reed, S. Jayasuriya, and J. Ye, · 2021
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D. Jin, Y. Chen, Y. Lu, J. Chen, P. Wang, Z. Liu, S. Guo, and X. Bai, · 2021
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C. P. Lau, H. Souri, and R. Chellappa, · 2021
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Y. Lou, S. Ha Kang, S. Soatto, and A. Bertozzi, · 2013
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Statistical Optics
J. W. Goodman, · 2015
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“Turbulence-indueced 2D correlated image distortion,”
A. Schwartzman, M. Alterman, R. Zamir, and Y. Y. Schechner, · 2017
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“Simulation of anisoplanatic imaging through optical turbulence using numerical wave propagation with new validation analysis,”
R. C. Hardie, J. D. Power, D. A. LeMaster, D. R. Droege, S. Gladysz, and S. Bose-Pillai, · 2017
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“Restoration of atmospheric turbulence-distorted images via RPCA and quasiconformal maps,”
C. P. Lau, Y. H. Lai, and L. M. Lui, · 2019
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“Image reconstruction of static and dynamic scenes through anisoplanatic turbulence,”
Z. Mao, N. Chimitt, and S. H. Chan, · 2020
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C. P. Lau and L. M. Lui, · 2021
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“Accelerating atmospheric turbulence simulation via learned phase-to-space transform,”
Z. Mao, N. Chimitt, and S. H. Chan, · 2021
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