First-photon imaging with independent depth reconstruction
First-photon imaging allows the reconstruction of scene reflectivity and depth information with a much fewer number of photon countings, compared with conventional time-correlated single-photon counting based imaging systems. One problem of the original first-photon imaging is that the quality of de...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2022-03-01
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| Series: | APL Photonics |
| Online Access: | http://dx.doi.org/10.1063/5.0086159 |
| _version_ | 1811260379319238656 |
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| author | A. Yu Cheng B. Xin-Yu Zhao C. Li-Jing Li D. Ming-Jie Sun |
| author_facet | A. Yu Cheng B. Xin-Yu Zhao C. Li-Jing Li D. Ming-Jie Sun |
| author_sort | A. Yu Cheng |
| collection | DOAJ |
| description | First-photon imaging allows the reconstruction of scene reflectivity and depth information with a much fewer number of photon countings, compared with conventional time-correlated single-photon counting based imaging systems. One problem of the original first-photon imaging is that the quality of depth reconstruction is significantly based on the denoising effect led by the result of reflectivity reconstruction; therefore, once the detection environment has a low SBR (signal-to-background ratio), the depth image denoising and reconstruction result is poor. In this work, an improved first-photon imaging scheme is proposed, in which the depth is reconstructed independently by optimizing the denoising method. A denoising module based on K-singular value decomposition is applied to remove the practical noise, including ambient noise and the dark count of the detector before the reconstruction of the depth image. The numerical and experimental results demonstrate that the proposed scheme is capable of denoising adaptively under different noise environments, especially severe ones. Under the condition of SBR being 1.0, the averaged root mean square error of depth reconstruction images is 36.2% smaller than that of the original first-photon imaging scheme. |
| first_indexed | 2024-04-12T18:45:30Z |
| format | Article |
| id | doaj.art-ab6b967690924d4ba21097056efb3cdc |
| institution | Directory Open Access Journal |
| issn | 2378-0967 |
| language | English |
| last_indexed | 2024-04-12T18:45:30Z |
| publishDate | 2022-03-01 |
| publisher | AIP Publishing LLC |
| record_format | Article |
| series | APL Photonics |
| spelling | doaj.art-ab6b967690924d4ba21097056efb3cdc2022-12-22T03:20:37ZengAIP Publishing LLCAPL Photonics2378-09672022-03-0173036103036103-1010.1063/5.0086159First-photon imaging with independent depth reconstructionA. Yu Cheng0B. Xin-Yu Zhao1C. Li-Jing Li2D. Ming-Jie Sun3School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, ChinaSchool of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, ChinaSchool of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, ChinaSchool of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, ChinaFirst-photon imaging allows the reconstruction of scene reflectivity and depth information with a much fewer number of photon countings, compared with conventional time-correlated single-photon counting based imaging systems. One problem of the original first-photon imaging is that the quality of depth reconstruction is significantly based on the denoising effect led by the result of reflectivity reconstruction; therefore, once the detection environment has a low SBR (signal-to-background ratio), the depth image denoising and reconstruction result is poor. In this work, an improved first-photon imaging scheme is proposed, in which the depth is reconstructed independently by optimizing the denoising method. A denoising module based on K-singular value decomposition is applied to remove the practical noise, including ambient noise and the dark count of the detector before the reconstruction of the depth image. The numerical and experimental results demonstrate that the proposed scheme is capable of denoising adaptively under different noise environments, especially severe ones. Under the condition of SBR being 1.0, the averaged root mean square error of depth reconstruction images is 36.2% smaller than that of the original first-photon imaging scheme.http://dx.doi.org/10.1063/5.0086159 |
| spellingShingle | A. Yu Cheng B. Xin-Yu Zhao C. Li-Jing Li D. Ming-Jie Sun First-photon imaging with independent depth reconstruction APL Photonics |
| title | First-photon imaging with independent depth reconstruction |
| title_full | First-photon imaging with independent depth reconstruction |
| title_fullStr | First-photon imaging with independent depth reconstruction |
| title_full_unstemmed | First-photon imaging with independent depth reconstruction |
| title_short | First-photon imaging with independent depth reconstruction |
| title_sort | first photon imaging with independent depth reconstruction |
| url | http://dx.doi.org/10.1063/5.0086159 |
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