Exploring the Influence of Light Sources on Digital Camera-based Spectral Reflectance Reconstruction

Jinxing Liang, Anping Liu, Lei Xin, Weiyu Zheng, Qiang Zhu, X. Hu, Jia Chen
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Abstract

Light source is an important factor in digital camera-based spectral reconstruction since it influence the camera responses of the object. In this paper, we explored the influence of light sources on spectral reconstruction from several aspects. Firstly, we tested the influence of correlated color temperature (CCT) of simulated daylight sources on spectral reconstruction. Then, the influence of light sources with same CCT but different spectral power distribution (SPD) on the spectral reconstruction was explored. After that, the influence of light sources with special shape of SPDs on spectral reconstruction was tested. Results indicated that the CCT can be used to describe the performance of the daylight source in spectral reconstruction, but can not be used to describe the other non-daylight sources, the red component in visible spectrum is important for higher spectral reconstruction accuracy. Four feature metrics of SPDs are proposed to evaluate the performance of light sources in spectral reconstruction. Further tests showed that the higher the metrics score the better the spectral reconstruction accuracy.
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探索光源对数字相机光谱反射率重建的影响
在基于数码相机的光谱重建中,光源是一个重要的因素,因为光源会影响目标的相机响应。本文从几个方面探讨了光源对光谱重建的影响。首先,我们测试了模拟光源的相关色温(CCT)对光谱重建的影响。然后,探讨了具有相同CCT但不同光谱功率分布(SPD)的光源对光谱重建的影响。然后,测试特殊形状spd光源对光谱重建的影响。结果表明,CCT可用于描述光源在光谱重建中的性能,但不能用于描述其他非光源,可见光谱中的红色成分对提高光谱重建精度至关重要。提出了四个特征指标来评价光源在光谱重建中的性能。进一步的测试表明,指标得分越高,光谱重建精度越高。
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