{"title":"基于coiflet -小波阶的大气湍流高质量低采样计算鬼像","authors":"Yangjun Li, Leihong Zhang, Dawei Zhang","doi":"10.1140/epjd/s10053-025-00991-2","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p><h3>Graphical abstracts</h3><p>The CGI of atmospheric turbulence based on Coiflet-wavelet order. HWP: half-wave plate, LP: linear polarizer, L1-L11: lens, SLM1-SLM5: spatial light modulators, CCD: camera.</p>\n<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":789,"journal":{"name":"The European Physical Journal D","volume":"79 4","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"High-quality low sampling computational ghost image based on Coiflet-wavelet order in atmospheric turbulence\",\"authors\":\"Yangjun Li, Leihong Zhang, Dawei Zhang\",\"doi\":\"10.1140/epjd/s10053-025-00991-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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.</p><h3>Graphical abstracts</h3><p>The CGI of atmospheric turbulence based on Coiflet-wavelet order. HWP: half-wave plate, LP: linear polarizer, L1-L11: lens, SLM1-SLM5: spatial light modulators, CCD: camera.</p>\\n<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>\",\"PeriodicalId\":789,\"journal\":{\"name\":\"The European Physical Journal D\",\"volume\":\"79 4\",\"pages\":\"\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2025-04-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The European Physical Journal D\",\"FirstCategoryId\":\"4\",\"ListUrlMain\":\"https://link.springer.com/article/10.1140/epjd/s10053-025-00991-2\",\"RegionNum\":4,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"OPTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The European Physical Journal D","FirstCategoryId":"4","ListUrlMain":"https://link.springer.com/article/10.1140/epjd/s10053-025-00991-2","RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"OPTICS","Score":null,"Total":0}
High-quality low sampling computational ghost image based on Coiflet-wavelet order in atmospheric turbulence
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.
Graphical abstracts
The CGI of atmospheric turbulence based on Coiflet-wavelet order. HWP: half-wave plate, LP: linear polarizer, L1-L11: lens, SLM1-SLM5: spatial light modulators, CCD: camera.
期刊介绍：
The European Physical Journal D (EPJ D) presents new and original research results in:
Atomic Physics;
Molecular Physics and Chemical Physics;
Atomic and Molecular Collisions;
Clusters and Nanostructures;
Plasma Physics;
Laser Cooling and Quantum Gas;
Nonlinear Dynamics;
Optical Physics;
Quantum Optics and Quantum Information;
Ultraintense and Ultrashort Laser Fields.
The range of topics covered in these areas is extensive, from Molecular Interaction and Reactivity to Spectroscopy and Thermodynamics of Clusters, from Atomic Optics to Bose-Einstein Condensation to Femtochemistry.
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