| ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS |
Prev
Next
|
|
|
Defogging computational ghost imaging via eliminating photon number fluctuation and a cycle generative adversarial network |
| Yuge Li(李玉格) and Deyang Duan(段德洋)† |
| School of Physics and Physical Engineering, Qufu Normal University, Qufu 273165, China |
|
|
|
|
Abstract Imaging through fluctuating scattering media such as fog is of challenge since it seriously degrades the image quality. We investigate how the image quality of computational ghost imaging is reduced by fluctuating fog and how to obtain a high-quality defogging ghost image. We show theoretically and experimentally that the photon number fluctuations introduced by fluctuating fog is the reason for ghost image degradation. An algorithm is proposed to process the signals collected by the computational ghost imaging device to eliminate photon number fluctuations of different measurement events. Thus, a high-quality defogging ghost image is reconstructed even though fog is evenly distributed on the optical path. A nearly 100% defogging ghost image is obtained by further using a cycle generative adversarial network to process the reconstructed defogging image.
|
Received: 25 April 2023
Revised: 24 May 2023
Accepted manuscript online: 25 May 2023
|
|
PACS:
|
42.30.Va
|
(Image forming and processing)
|
| |
42.50.-p
|
(Quantum optics)
|
|
| Fund: This work was supported by the Natural Science Foundation of Shandong Province, China (Grant No. ZR2022MF249). |
Corresponding Authors:
Deyang Duan
E-mail: duandy2015@qfnu.edu.cn
|
Cite this article:
Yuge Li(李玉格) and Deyang Duan(段德洋) Defogging computational ghost imaging via eliminating photon number fluctuation and a cycle generative adversarial network 2023 Chin. Phys. B 32 104203
|
[1] He K, Sun J and Tang X 2011 IEEE Trans. Pattern Anal. Mach. Intellig. 33 2341
[2] Liu H, Chen Y, Zhang L, Li D and Li X 2022 Opt. Lett. 47 569
[3] Zheng Z, Ren W, Cao X, Hu X, Wang T, Song F and Jia X 2021 IEEE Conference on Computer Vision and Pattern Recognition, June 20-25, Nashville, TN, USA, pp. 16180-16189
[4] Li F, Zhao M, Tian Z, Willomitzer F and Cossairt O 2020 Opt. Express 28 17395
[5] Gong W L and Han S S 2011 Opt. Lett. 36 394
[6] Bina M, Magatti D, Molteni M, Gatti A, Lugiato L A and Ferri F 2013 Phys. Rev. Lett. 110 083901
[7] Yang Z, Zhao L, Zhao X, Qin W and Li J 2016 Chin. Phys. B 25 024202
[8] Fu Q, Bai Y F, Huang X W, Nan S Q, Xie P Y and Fu X Q 2019 Photon. Res. 7 1468
[9] Xiao Y, Zhou L and ChenW 2019 Opt. Express 27 20558
[10] Li F Q, Zhao M, Tian M Z, Willomitzer F and Cossairt O 2020 Opt. Express 28(12) 17395
[11] Gao Z J, Yin J H, Bai Y F and Fu X Q 2020 Appl. Opt. 59 8472
[12] Lin L, Cao J, Zhou D, Cui H and Hao Q 2022 Opt. Express 30 11243
[13] Liu J F, Wang L and Zhao S M 2022 Chin. Phys. B 31 084202
[14] Liu Z Q, Bai Y F, Zou X P, Zhou L Y, Fu Q and Fu X Q 2023 Chin. Phys. B 32 034210
[15] Liu Z Y, Meng S Y and Chen X H 2023 Chin. Phys. B 32 044204
[16] Zhang H, Xia Y J and Duan 2021 Chin. Phys. B 30 124209
[17] Shih Y H 2016 Technologies 4 39
[18] Chan K W C, O'Sullivan M N and Boyd R W 2009 Phys. Rev. A 79 033808
[19] Fu Q and Sun W 2001 Appl. Opt. 40 1354
[20] Zhu J Y, Park T, Isola P and Efros A A 2017 Proceedings of the IEEE International Conference on Computer Vision (ICCV), October 22-29, 2017 Venice, Italy, pp. 2242-2251 |
| No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|
