Reconstruction of spectral images of ocean surfaces using standard RGB images and typical ocean spectrum samples
Reconstruction of spectral images of ocean surfaces using standard RGB images and typical ocean spectrum samples
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DOI：
10.1117/1.oe.60.12.123106
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发表时间：
2021-12
影响因子：
1.3
通讯作者：
Chenyang Deng;N. Liao;Ning Lv;Wenmin Wu;Yasheng Li;Qiumei Fan
中科院分区：
文献类型：
--
作者：
Chenyang Deng;N. Liao;Ning Lv;Wenmin Wu;Yasheng Li;Qiumei Fan
抽象的。海洋表面上的物体的高分辨率光谱成像是困难的，因为这些物体和海洋表面上的水波的位置以及照明随时间变化。我们提出了一种基于标准RGB（sRGB）成像系统和一组海洋光谱样本的响应的海洋表面光谱图像重建方法。首先，我们测量了一个典型的海洋表面的光谱反射率在可见光波段使用标准的光谱辐射计。使用色调、饱和度和亮度维度中的变换，然后我们扩展这些测量以形成光谱反射率样本的参考组沿着它们相应的sRGB值。在此之后，我们建立了一个方法来重建光谱图像立方体的海洋表面从一个单一的sRGB图像使用光谱字典和RGB值匹配。因此，我们的技术消除了传统的光谱重建方法所面临的从三维RGB空间到多维光谱空间的转换问题。在我们的实验中，我们捕获了一系列的sRGB标准图像的一个典型的海洋表面使用一个标准的数字彩色相机，然后重建光谱图像立方体从400到700 nm使用5 nm的间隔。基于对重建光谱图像质量的评估，我们的技术在光谱分布和空间分辨率方面表现出理想的性能。
Abstract. High-resolution spectral imaging of objects on ocean surfaces is difficult, because the position of these objects and the water waves on the ocean surface, as well as the illumination, vary over time. We propose a method for the reconstruction of spectral images of ocean surfaces based on the response of a standard RGB (sRGB) imaging system and a group of ocean spectrum samples. First, we measured the spectral reflectance of a typical ocean surface in the visible band using a standard spectroradiometer. Using transformations in the hue, saturation, and brightness dimensions, we then expanded these measurements to form a reference group of spectral reflectance samples along with their corresponding sRGB values. Following this, we established a method for reconstructing the spectral image cube of an ocean surface from a single sRGB image using a spectrum dictionary and RGB value matching. Our technique thus eliminates the problem of conversion from a three-dimensional RGB space to a multidimensional spectral space faced by conventional spectral reconstruction methods. In our experiments, we captured a series of sRGB standard images of a typical ocean surface using a standard digital color camera, and then reconstructed the spectral image cube from 400 to 700 nm using a 5-nm interval. Based on assessment of the quality of the reconstructed spectral images, our technique demonstrates desirable performance with respect to spectral distribution and spatial resolution.