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辅助参考样本可用于从相机 RGB 信号推断光谱反射率。

Auxiliary Reference Samples for Extrapolating Spectral Reflectance from Camera RGB Signals.

机构信息

Department of Electrophysics, National Yang Ming Chiao Tung University, No. 1001 University Road, Hsinchu 300, Taiwan.

Department of Electrical Engineering, Yuan Ze University, No. 135 Yuan-Tung Road, Taoyuan 320, Taiwan.

出版信息

Sensors (Basel). 2022 Jun 29;22(13):4923. doi: 10.3390/s22134923.

DOI:10.3390/s22134923
PMID:35808412
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9269503/
Abstract

Surface spectral reflectance is useful for color reproduction. In this study, the reconstruction of spectral reflectance using a conventional camera was investigated. The spectrum reconstruction error could be reduced by interpolating camera RGB signals, in contrast to methods based on basis spectra, such as principal component analysis (PCA). The disadvantage of the interpolation method is that it cannot interpolate samples outside the convex hull of reference samples in the RGB signal space. An interpolation method utilizing auxiliary reference samples (ARSs) to extrapolate the outside samples is proposed in this paper. The ARSs were created using reference samples and color filters. The convex hull of the reference samples and ARSs was expanded to enclose outside samples for extrapolation. A commercially available camera was taken as an example. The results show that with the proposed method, the extrapolation error was smaller than that of the computationally time-consuming weighted PCA method. A low cost and fast detection speed for spectral reflectance recovery can be achieved using a conventional camera.

摘要

表面光谱反射率对于颜色再现很有用。在这项研究中,使用传统相机对光谱反射率进行了重建。与基于基谱的方法(如主成分分析 (PCA))相比,通过对相机 RGB 信号进行插值,可以减少光谱重建误差。插值方法的缺点是它不能对 RGB 信号空间中参考样本凸壳外的样本进行插值。本文提出了一种利用辅助参考样本 (ARS) 外推外部样本的插值方法。ARS 是使用参考样本和颜色滤波器创建的。扩展参考样本和 ARS 的凸壳以包围外部样本进行外推。以市售相机为例进行了实验。结果表明,使用该方法,外推误差小于计算时间较长的加权 PCA 方法。使用传统相机可以实现低成本和快速的光谱反射率恢复检测速度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbb5/9269503/1162bdd36944/sensors-22-04923-g016.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbb5/9269503/5e948c6aecd0/sensors-22-04923-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbb5/9269503/93c7cde06dcc/sensors-22-04923-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbb5/9269503/72e7e97ac250/sensors-22-04923-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbb5/9269503/651bb9c327f1/sensors-22-04923-g012a.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbb5/9269503/1162bdd36944/sensors-22-04923-g016.jpg

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本文引用的文献

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Reflectance spectra reconstruction from trichromatic camera based on kernel partial least square method.基于核偏最小二乘法的三色相机反射光谱重建
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A mobile device-based imaging spectrometer for environmental monitoring by attaching a lightweight small module to a commercial digital camera.一种基于移动设备的成像光谱仪,通过将一个轻质小模块连接到商用数码相机上进行环境监测。
Sci Rep. 2017 Nov 15;7(1):15602. doi: 10.1038/s41598-017-15848-x.
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Rank-based camera spectral sensitivity estimation.
基于秩的相机光谱灵敏度估计。
J Opt Soc Am A Opt Image Sci Vis. 2016 Apr 1;33(4):589-99. doi: 10.1364/JOSAA.33.000589.
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Reference data set for camera spectral sensitivity estimation.用于相机光谱灵敏度估计的参考数据集。
J Opt Soc Am A Opt Image Sci Vis. 2015 Mar 1;32(3):381-91. doi: 10.1364/JOSAA.32.000381.
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Color correction using root-polynomial regression.使用根多项式回归进行颜色校正。
IEEE Trans Image Process. 2015 May;24(5):1460-70. doi: 10.1109/TIP.2015.2405336.
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Spectral reflectivity recovery from the tristimulus values using a hybrid method.使用混合方法从三刺激值恢复光谱反射率。
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Reconstruction of reflectance data using an interpolation technique.使用插值技术重建反射率数据。
J Opt Soc Am A Opt Image Sci Vis. 2009 Mar;26(3):613-24. doi: 10.1364/josaa.26.000613.
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Evaluation of linear models of surface spectral reflectance with small numbers of parameters.基于少量参数的地表光谱反射率线性模型评估
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