Separating Fluorescent and Reflective Components by Using a Single Hyperspectral Image
Separating Fluorescent and Reflective Components by Using a Single Hyperspectral Image
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使用单个高光谱图像分离荧光和反射成分
DOI：
10.1109/iccv.2015.402
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Yoichi Sato
中科院分区：
文献类型：
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作者：
Yinqiang Zheng;Ying Fu;Antony Lam;Imari Sato;Yoichi Sato
本文介绍了一种在光谱域中分离荧光和反射成分的新方法。现有方法需要在不同光照下捕获两张或多张图像，而我们的目标是通过使用单张高光谱图像来实现这种分离任务。在确定了单图像分量分离的关键障碍后，我们用数学方法设计了最佳照明光谱，该光谱在频域中包含大量高频分量。这一观察反过来又使我们认识到反射率和荧光在响应照明调频效应方面的关键区别，这从根本上解释了我们方法的可行性。在实际应用方面，我们成功地找到了一种现成的灯作为光源，它的辐照强度强，成本便宜。提出了一种快速的线性分离算法。利用合成数据和真实图像进行实验，验证了所选光源的有效性和分离算法的准确性。
This paper introduces a novel method to separate fluorescent and reflective components in the spectral domain. In contrast to existing methods, which require to capture two or more images under varying illuminations, we aim to achieve this separation task by using a single hyperspectral image. After identifying the critical hurdle in single-image component separation, we mathematically design the optimal illumination spectrum, which is shown to contain substantial high-frequency components in the frequency domain. This observation, in turn, leads us to recognize a key difference between reflectance and fluorescence in response to the frequency modulation effect of illumination, which fundamentally explains the feasibility of our method. On the practical side, we successfully find an off-the-shelf lamp as the light source, which is strong in irradiance intensity and cheap in cost. A fast linear separation algorithm is developed as well. Experiments using both synthetic data and real images have confirmed the validity of the selected illuminant and the accuracy of our separation algorithm.