[1] Henderson R K, Johnston N, Hutchings S W, et al. 5.7 A 256×256 40 nm90 nm CMOS 3Dstacked 120 dB dynamicrange reconfigurable timeresolved spad imager[C]ISSCC, 2019: 106–108.
[2] S P Poland, N Krstajić, J Monypenny, et al. A high speed multifocal multiphoton fluorescence lifetime imaging microscope for live-cell FRET imaging. Biomed Opt Express, 6, 277-296(2015).
[3] He Huang, Xinrui Li, Jing Song, et al. A traffic image dehaze method based on adaptive transmittance estimation with multi-scale window. Chinese Optics, 12, 1311-1320(2019).
[4] D Shin, F Xu, D Venkatraman, et al. Photon-efficient imaging with a single-photon camera. Nat Commun, 7, 12046(2016).
[5] Xiaowei Feng, Haiyun Hu, Ruiqing Zhuang, et al. Adaptive reconstruction of 3D point cloud by sparse optimization. Optics and Precision Engineering, 29, 2495-2503(2021).
[6] J Rapp, V K Goyal. A few photons among many: Unmixing signal and noise for photon-efficient active imaging. IEEE Trans Comput Imaging, 3, 445-459(2017).
[7] Chunzhe Wang, Junshe An, Xiujie Jiang, et al. Region proposal optimization algorithm based on convolutional neural networks. Chinese Optics, 12, 1348-1361(2019).
[8] Hongqiang Zhou, Lingling Huang, Yongtian Wang, et al. Deep learning algorithm and its application in optics. Infrared and Laser Engineering, 48, 1226004(2019).
[9] Hanlin Zeng, Xiangyong Meng, Weixian Qian, et al. Image fusion algorithm based on DOG filter. Infrared and Laser Engineering, 49, 20200091(2020).
[10] D B Lindell, M O’Toole, G Wetzstein. Single-photon 3D imaging with deep sensor fusion. ACM Trans Graph, 37, 1-12(2018).
[11] Z H Sun, D B Lindell, O Solgaard, et al. SPADnet: Deep RGB-SPAD sensor fusion assisted by monocular depth estimation. Opt Express, 28, 14948-14962(2020).
[12] A Ruget, S McLaughlin, R K Henderson, et al. Robust super-resolution depth imaging via a multi-feature fusion deep network. Opt Express, 29, 11917-11937(2021).
[13] Junfeng Lei, Rui He, Jinsheng Xiao. Driving obstacles prediction network merged with spatial attention. Optics and Precision Engineering, 28, 1850-1860(2020).
[14] Woo S, Park J, Lee J Y, et al. CBAM: Convolutional block attention module[C]ECCV, 2018: 319.
[15] Silberman N, Hoiem D, Kohli P, et al. Indo segmentation suppt inference from RGBD images[C]ECCV, 2019: 746760.
[16] K M He, J Sun, X O Tang. Guided image filtering. IEEE Trans Pattern Anal Mach Intell, 35, 1397-1409(2013).