Abstract

Non-line-of-sight (NLoS) imaging is a newly developed technique with widespread applications in recent years. At present, it is difficult for NLoS imaging to achieve a high-resolution reconstruction with an existing back-projection method. We propose a novel approach based on the Richardson–Lucy deconvolution of time histograms for high-resolution NLoS imaging. In our approach, the backscattering photons from a line-of-sight scene, often regarded as adverse factors, are used favorably as priors for the deconvolution of time histograms. All deconvoluted time histograms are back projected into the space to form a high-resolution NLoS reconstruction. The simulated and experimental results with the approach demonstrated that the reconstructions of NLoS objects are indeed with high resolution, even under a relatively high noise level.

© 2018 Optical Society of America

Partially interpretable image deconvolution framework based on the Richardson–Lucy model

Xiaojun Zhao, Guangcai Liu, Rui Jin, Hui Gong, Qingming Luo, and Xiaoquan Yang
Opt. Lett. 48(4) 940-943 (2023)

Enhancing the spatial resolution of time-of-flight based non-line-of-sight imaging via instrument response function deconvolution

DingJie Wang, Wei Hao, YuYuan Tian, WeiHao Xu, Yuan Tian, HaiHao Cheng, SongMao Chen, Ning Zhang, WenHua Zhu, and XiuQin Su
Opt. Express 32(7) 12303-12317 (2024)

Fast non-line-of-sight imaging based on first photon event stamping

Zhupeng Li, Xintong Liu, Jianyu Wang, Zuoqiang Shi, Lingyun Qiu, and Xing Fu
Opt. Lett. 47(8) 1928-1931 (2022)

Reconstruction of multiple non-line-of-sight objects using back projection based on ellipsoid mode decomposition

Chenfei Jin, Jiaheng Xie, Siqi Zhang, ZiJing Zhang, and Yuan Zhao
Opt. Express 26(16) 20089-20101 (2018)

Non-line-of-sight imaging based on an untrained deep decoder network

Huazheng Wu, Shoupei Liu, Xiangfeng Meng, Xiulun Yang, and Yongkai Yin
Opt. Lett. 47(19) 5056-5059 (2022)