Performance Characterization of Deep-Phase-Retrieval Shack-Hartmann Wavefront Sensors
Shack-Hartmann wavefront sensor (SHWFS) is the most popular wavefront sensor in adaptive optics systems. The Deep-Phase-Retrieval Wavefront Reconstruction (DPRWR) method, which was proposed by our group previously, is a kind of deep learning-based wavefront reconstruction method. It can extract more...
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Photonics Journal |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10076256/ |
| _version_ | 1797849342967545856 |
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| author | Manting Zhang Youming Guo |
| author_facet | Manting Zhang Youming Guo |
| author_sort | Manting Zhang |
| collection | DOAJ |
| description | Shack-Hartmann wavefront sensor (SHWFS) is the most popular wavefront sensor in adaptive optics systems. The Deep-Phase-Retrieval Wavefront Reconstruction (DPRWR) method, which was proposed by our group previously, is a kind of deep learning-based wavefront reconstruction method. It can extract more information from the SHWFS images to accurately obtain more Zernike mode coefficients. However, the application limits, performance upper bound, and noise immunity have not been investigated in detail in previous reports. In this paper, sub-aperture spot sampling, bit depth, number of reconstructed mode coefficients, and noise intensities are analyzed by simulations and experiments to investigate the influence of changes in these parameters on the performance of DPRWR. This work aims to optimize the configuration of DPRWR for better measurement accuracy, spatial resolution, and robustness. |
| first_indexed | 2024-04-09T18:43:26Z |
| format | Article |
| id | doaj.art-f09b398a5f1f4b8aa2a342e6448c6409 |
| institution | Directory Open Access Journal |
| issn | 1943-0655 |
| language | English |
| last_indexed | 2024-04-09T18:43:26Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Photonics Journal |
| spelling | doaj.art-f09b398a5f1f4b8aa2a342e6448c64092023-04-10T23:00:27ZengIEEEIEEE Photonics Journal1943-06552023-01-0115211110.1109/JPHOT.2023.325608210076256Performance Characterization of Deep-Phase-Retrieval Shack-Hartmann Wavefront SensorsManting Zhang0https://orcid.org/0000-0002-7050-092XYouming Guo1https://orcid.org/0000-0002-4409-5713Key Laboratory on Adaptive Optics, Chinese Academy of Science, Chengdu, ChinaKey Laboratory on Adaptive Optics, Chinese Academy of Science, Chengdu, ChinaShack-Hartmann wavefront sensor (SHWFS) is the most popular wavefront sensor in adaptive optics systems. The Deep-Phase-Retrieval Wavefront Reconstruction (DPRWR) method, which was proposed by our group previously, is a kind of deep learning-based wavefront reconstruction method. It can extract more information from the SHWFS images to accurately obtain more Zernike mode coefficients. However, the application limits, performance upper bound, and noise immunity have not been investigated in detail in previous reports. In this paper, sub-aperture spot sampling, bit depth, number of reconstructed mode coefficients, and noise intensities are analyzed by simulations and experiments to investigate the influence of changes in these parameters on the performance of DPRWR. This work aims to optimize the configuration of DPRWR for better measurement accuracy, spatial resolution, and robustness.https://ieeexplore.ieee.org/document/10076256/Adaptive opticsShack-Hartmannwavefront reconstructiondeep-phase-retrieval |
| spellingShingle | Manting Zhang Youming Guo Performance Characterization of Deep-Phase-Retrieval Shack-Hartmann Wavefront Sensors IEEE Photonics Journal Adaptive optics Shack-Hartmann wavefront reconstruction deep-phase-retrieval |
| title | Performance Characterization of Deep-Phase-Retrieval Shack-Hartmann Wavefront Sensors |
| title_full | Performance Characterization of Deep-Phase-Retrieval Shack-Hartmann Wavefront Sensors |
| title_fullStr | Performance Characterization of Deep-Phase-Retrieval Shack-Hartmann Wavefront Sensors |
| title_full_unstemmed | Performance Characterization of Deep-Phase-Retrieval Shack-Hartmann Wavefront Sensors |
| title_short | Performance Characterization of Deep-Phase-Retrieval Shack-Hartmann Wavefront Sensors |
| title_sort | performance characterization of deep phase retrieval shack hartmann wavefront sensors |
| topic | Adaptive optics Shack-Hartmann wavefront reconstruction deep-phase-retrieval |
| url | https://ieeexplore.ieee.org/document/10076256/ |
| work_keys_str_mv | AT mantingzhang performancecharacterizationofdeepphaseretrievalshackhartmannwavefrontsensors AT youmingguo performancecharacterizationofdeepphaseretrievalshackhartmannwavefrontsensors |