https://doi.org/10.1140/epjd/s10053-025-00991-2
Regular Article - Optical Phenomena and Photonics
High-quality low sampling computational ghost image based on Coiflet-wavelet order in atmospheric turbulence
School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, 200093, Shanghai, China
Received:
22
February
2025
Accepted:
27
March
2025
Published online:
23
April
2025
As light passes through atmospheric turbulence, variations in the ambient refractive index cause fluctuations and drift in light intensity, resulting in severe image distortion that significantly limits its practical applications in imaging. Ghost imaging, which leverages the second-order coherence of the optical field, offers several advantages, including high noise immunity, low light source requirements, and single-pixel imaging, making it highly effective for imaging under turbulent conditions. In this paper, we propose a computational ghost imaging method for atmospheric turbulence under low sampling conditions. The method employs Coiflet-wavelet decomposition to extract low-frequency wavelet coefficients from the Hadamard pattern, arranging them in ascending order to prioritize useful information and enhance reconstruction quality. Comparative with other optimized methods demonstrate that our approach achieves superior imaging performance, highlighting its potential for applications in atmospheric turbulence imaging.
Supplementary Information The online version contains supplementary material available at https://doi.org/10.1140/epjd/s10053-025-00991-2.
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© The Author(s), under exclusive licence to EDP Sciences, SIF and Springer-Verlag GmbH Germany, part of Springer Nature 2025
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
