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基于深度图像的前置和引导过器的双摄像头压缩超光谱成像

Haijun Tian, Jufeng Zhao, Junjie Zhu

|September 14, 2023

概括

这项研究引入了一种新的双摄像头超光谱重建方法,使用深度图像预先和引导过. 它有效地重建高空间和光谱精度的光谱数据,而不需要训练数据.

科学领域:

光学和光子学在光学和光子学.
图像处理图像处理
计算成像技术的成像

背景情况:

编码的光圈快照光谱成像 (CASSI) 在一个快照中捕获2D传感器上的3D光谱数据立方体.
卡西重建的位置往往不好,导致结果低于最佳.
整合额外的信息,如泛色学测量,可以提高重建质量.

研究的目的:

为CASSI开发一个双摄像头超光谱重建方法.
利用深度图像预先 (DIP) 和引导过来进行增强的光谱数据重建.
在没有训练数据的重建超光谱图像中实现高空间和光谱分辨率.

主要方法:

一个双摄像头系统,结合了CASSI和泛色测量.
使用深度图像先验 (DIP) 进行自我监督的网络学习.
使用DIP进行代重建,并使用指导过进行优化.

主要成果:

提出的方法成功地重建了超光谱数据.
在实验结果中获得了高光谱精度和空间分辨率.
在不需要预先存在的培训数据集的情况下,证明了有效的重建.

结论:

采用DIP和指导过的双摄像头方法显著增强了CASSI重建.
这种方法为获取高准确度的超频谱数据提供了强大的解决方案.
该技术为光谱成像应用提供了一种无训练数据的方法.

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