基于局部二进制模式和未训练神经网络的宽视场扫描鬼影成像。

IF 3.2 2区 物理与天体物理 Q2 OPTICS
Optics express Pub Date : 2024-11-04 DOI:10.1364/OE.533583
Suqin Nan, Lin Luo, Xuanpengfan Zou, Yang Guo, Xianwei Huang, Wei Tan, Xiaohui Zhu, Teng Jiang, Chuang Li, Yanfeng Bai, Xiquan Fu
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引用次数: 0

摘要

连续场景成像是自动驾驶领域的重要研究目标,关键是要保证成像质量和效率。本文提出了一种基于深度学习的局部二值模式(LBP)广域扫描鬼影成像信息融合方法。将 LBP 形成的初始物理模型集成到深度神经网络中,有效增强了图像纹理细节的表达。然后将收集到的水桶信号作为自适应图像重建的标签,从而无需在任何数据集上进行训练即可获取每个扫描位置的图像。此外,通过采用加权融合技术来合并每个扫描位置的图像数据,可有效消除直接拼接产生的间隙。模拟和实验结果表明,我们的方法能够以较少的测量值实现高质量的详细成像。此外,我们还分析了投影光束步长的影响,发现与其他使用较小步长的方法相比,我们的方法在使用较大步长时成像质量明显更好。我们的研究在医疗检测、遥感等领域也有应用前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wide-field scanning ghost imaging based on a local binary pattern and untrained neural network.

Continuous scene imaging is an important research goal in the field of autonomous driving, and the key is to ensure the imaging quality and efficiency. In this paper, we propose a method for information fusion in wide-field scanning ghost imaging using a local binary pattern (LBP) based on deep learning. The initial physical model formed by the LBP integrated into a deep neural network, which effectively enhances the expression of image texture details. Then the collected bucket signals are used as labels for adaptive image reconstruction, enabling the acquisition of images at each scanning position without the need for training on any dataset. Moreover, by employing weighted fusion to combine the image data from each scanning position, which effectively eliminates gaps that arise from direct stitching. Both simulation and experimental results demonstrate that our approach is capable of achieving high-quality detailed imaging with fewer measurements. Additionally, we analyze the impact of the projection beam step length, finding that our method yields significantly better imaging quality with larger steps compared to other methods using smaller steps. Our research also has the application prospect in medical detection, remote sensing and other fields.

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来源期刊
Optics express
Optics express 物理-光学
CiteScore
6.60
自引率
15.80%
发文量
5182
审稿时长
2.1 months
期刊介绍: Optics Express is the all-electronic, open access journal for optics providing rapid publication for peer-reviewed articles that emphasize scientific and technology innovations in all aspects of optics and photonics.
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