Improving non-line-of-sight age reconstruction with weighting factors
Improving non-line-of-sight age reconstruction with weighting factors
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DOI：
10.1364/ol.394742
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发表时间：
2020-07-15
期刊：
影响因子：
3.6
通讯作者：
Gao, Liang
中科院分区：
文献类型：
--
作者：
Feng, Xiaohua;Gao, Liang
非视线（NLOS）成像是一个光饥饿的应用，遭受高噪声的测量数据。为了恢复具有良好对比度的隐藏场景，重建算法对噪声和伪影的鲁棒性至关重要。本文提出了两种非视线成像滤波反投影（FBP）重建算法的加权因子。切趾因子修改孔径（壁）函数以减少拖尾伪影，相干因子评估测量信号的空间相干性以抑制噪声。这两个因素都很容易评估，并且它们的协同效应可以在有噪数据的情况下为FBP带来最先进的重建质量。我们证明了建议的加权因子对公开访问的实验数据集的有效性。(C)2020美国光学学会
Non-line-of-sight (NLOS) imaging is a light-starving application that suffers from highly noisy measurement data. In order to recover the hidden scene with good contrast, it is crucial for the reconstruction algorithm to be robust against noises and artifacts. We propose here two weighting factors for the filtered backprojection (FBP) reconstruction algorithm in NLOS imaging. The apodization factor modifies the aperture (wall) function to reduce streaking artifacts, and the coherence factor evaluates the spatial coherence of measured signals for noise suppression. Both factors are simple to evaluate, and their synergistic effects lead to state-of-the-art reconstruction quality for FBP with noisy data. We demonstrate the effectiveness of the proposed weighting factors on publicly accessible experimental datasets. (C) 2020 Optical Society of America