There is widespread interest in estimating the fluorescence properties of natural materials in an image. However, the separation between reflected and fluoresced components is difficult, because it is impossible to distinguish reflected and fluoresced photons without controlling the illuminant spectrum. We show how to jointly estimate the reflectance and fluorescence from a single set of images acquired under multiple illuminants. We present a framework based on a linear approximation to the physical equations describing image formation in terms of surface spectral reflectance and fluorescence due to multiple fluorophores. We relax the non-convex, inverse estimation problem in order to jointly estimate the reflectance and fluorescence properties in a single optimization step. We provide a software implementation of the solver for our method and prior methods. We evaluate the accuracy and reliability of the method using both simulations and experimental data. To evaluate the methods experimentally we built a custom imaging system using a monochrome camera, a filter wheel with bandpass transmissive filters and a small number of light emitting diodes. We compared the methods based upon our framework with the ground truth as well as with prior methods.

中文翻译：

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同时进行表面反射率和荧光光谱估计。


人们对估计图像中天然材料的荧光特性有着广泛的兴趣。然而，反射和荧光成分之间的分离很困难，因为在不控制光源光谱的情况下不可能区分反射和荧光光子。我们展示了如何联合估计在多个光源下采集的一组图像的反射率和荧光。我们提出了一个基于物理方程的线性近似的框架，该物理方程根据表面光谱反射率和多个荧光团的荧光来描述图像形成。我们放宽非凸逆估计问题，以便在单个优化步骤中联合估计反射率和荧光特性。我们为我们的方法和先前的方法提供了求解器的软件实现。我们使用模拟和实验数据评估该方法的准确性和可靠性。为了通过实验评估这些方法，我们使用单色相机、带有带通透射滤光片的滤光轮和少量发光二极管构建了定制成像系统。我们将基于我们的框架的方法与事实真相以及之前的方法进行了比较。