Intensity image restoration of lidar based on atmospheric scattering model

Haoyang Li; Sining Li; Peng Jiang; Jianfeng Sun; Shihang Guo; Hailong Zhang; Qi Wang

doi:10.1117/12.2603183

24 November 2021 Intensity image restoration of lidar based on atmospheric scattering model

Haoyang Li, Sining Li, Peng Jiang, Jianfeng Sun, Shihang Guo, Hailong Zhang, Qi Wang

Proceedings Volume 12065, AOPC 2021: Optical Sensing and Imaging Technology; 120650G (2021) https://doi.org/10.1117/12.2603183
Event: Applied Optics and Photonics China 2021, 2021, Beijing, China

Abstract

In this paper, three algorithms are proposed to restore the fog-containing relative intensity image of lidar based on the atmospheric scattering model and dark channel prior theory. The algorithm was evaluated by analyzing the peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) of the two data sets, including the fog-free relative intensity images and the fog-containing relative intensity images and standard fog-free relative intensity images. The experimental results show that the PSNR of the two groups of data can be improved by the three algorithms to varying degrees, and the highest PSNR can reach 35.6%. The structure similarity SSIM was significantly improved, and the effect was up to three orders of magnitude.

Citation Download Citation

Haoyang Li, Sining Li, Peng Jiang, Jianfeng Sun, Shihang Guo, Hailong Zhang, and Qi Wang "Intensity image restoration of lidar based on atmospheric scattering model", Proc. SPIE 12065, AOPC 2021: Optical Sensing and Imaging Technology, 120650G (24 November 2021); https://doi.org/10.1117/12.2603183

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