Lensless Three-Dimensional Imaging under Photon-Starved Conditions
In this paper, we propose a lensless three-dimensional (3D) imaging under photon-starved conditions using diffraction grating and computational photon counting method. In conventional 3D imaging with and without the lens, 3D visualization of objects under photon-starved conditions may be difficult d...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/23/4/2336 |
| _version_ | 1797618223006351360 |
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| author | Jae-Young Jang Myungjin Cho |
| author_facet | Jae-Young Jang Myungjin Cho |
| author_sort | Jae-Young Jang |
| collection | DOAJ |
| description | In this paper, we propose a lensless three-dimensional (3D) imaging under photon-starved conditions using diffraction grating and computational photon counting method. In conventional 3D imaging with and without the lens, 3D visualization of objects under photon-starved conditions may be difficult due to lack of photons. To solve this problem, our proposed method uses diffraction grating imaging as lensless 3D imaging and computational photon counting method for 3D visualization of objects under these conditions. In addition, to improve the visual quality of 3D images under severely photon-starved conditions, in this paper, multiple observation photon counting method with advanced statistical estimation such as Bayesian estimation is proposed. Multiple observation photon counting method can estimate the more accurate 3D images by remedying the random errors of photon occurrence because it can increase the samples of photons. To prove the ability of our proposed method, we implement the optical experiments and calculate the peak sidelobe ratio as the performance metric. |
| first_indexed | 2024-03-11T08:10:07Z |
| format | Article |
| id | doaj.art-a9e687a8772a4846b9b4e62d9a4a5696 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T08:10:07Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-a9e687a8772a4846b9b4e62d9a4a56962023-11-16T23:13:26ZengMDPI AGSensors1424-82202023-02-01234233610.3390/s23042336Lensless Three-Dimensional Imaging under Photon-Starved ConditionsJae-Young Jang0Myungjin Cho1Department of Optometry, Eulji University, 553 Sanseong-daero, Sujeong-gu, Seongnam-si 13135, Kyonggi-do, Republic of KoreaResearch Center for Hyper-Connected Convergence Technology, School of ICT, Robotics, and Mechanical Engineering, Institute of Information and Telecommunication Convergence (IITC), Hankyong National University, 327 Chungang-ro, Anseong 17579, Kyonggi-do, Republic of KoreaIn this paper, we propose a lensless three-dimensional (3D) imaging under photon-starved conditions using diffraction grating and computational photon counting method. In conventional 3D imaging with and without the lens, 3D visualization of objects under photon-starved conditions may be difficult due to lack of photons. To solve this problem, our proposed method uses diffraction grating imaging as lensless 3D imaging and computational photon counting method for 3D visualization of objects under these conditions. In addition, to improve the visual quality of 3D images under severely photon-starved conditions, in this paper, multiple observation photon counting method with advanced statistical estimation such as Bayesian estimation is proposed. Multiple observation photon counting method can estimate the more accurate 3D images by remedying the random errors of photon occurrence because it can increase the samples of photons. To prove the ability of our proposed method, we implement the optical experiments and calculate the peak sidelobe ratio as the performance metric.https://www.mdpi.com/1424-8220/23/4/2336Bayesian estimationcomputational photon counting methoddiffraction grating imaginglensless 3D imagingmaximum likelihood estimationmultiple observation photon counting method |
| spellingShingle | Jae-Young Jang Myungjin Cho Lensless Three-Dimensional Imaging under Photon-Starved Conditions Sensors Bayesian estimation computational photon counting method diffraction grating imaging lensless 3D imaging maximum likelihood estimation multiple observation photon counting method |
| title | Lensless Three-Dimensional Imaging under Photon-Starved Conditions |
| title_full | Lensless Three-Dimensional Imaging under Photon-Starved Conditions |
| title_fullStr | Lensless Three-Dimensional Imaging under Photon-Starved Conditions |
| title_full_unstemmed | Lensless Three-Dimensional Imaging under Photon-Starved Conditions |
| title_short | Lensless Three-Dimensional Imaging under Photon-Starved Conditions |
| title_sort | lensless three dimensional imaging under photon starved conditions |
| topic | Bayesian estimation computational photon counting method diffraction grating imaging lensless 3D imaging maximum likelihood estimation multiple observation photon counting method |
| url | https://www.mdpi.com/1424-8220/23/4/2336 |
| work_keys_str_mv | AT jaeyoungjang lenslessthreedimensionalimagingunderphotonstarvedconditions AT myungjincho lenslessthreedimensionalimagingunderphotonstarvedconditions |