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Illumination-based and Device-independent Imaging Model and Spectral Response Functions

机译:基于照明和与设备无关的成像模型和光谱响应函数

摘要

This work provides a theoretical framework for the colorimetric scene reproduction under different illuminants. First, based on the principle of CIE color matching experiment as well as image production pipeline in digital still cameras, we analyze and conclude that the Color Matching Function (CMF) of the color space determined by a display is the best Spectral Response Function (SRF) for scene reproduction on the certain conditions. Then, we wonder what the best SRFs for other illuminants beyond D65 are. In order to do this, we propose a new imaging formula in which the SRF is changing with illumination variation. Different from previous imaging formulae suitable for RAW format for D65 illuminants, our imaging formulae is a theoretical one that can achieve color constancy for an arbitrary camera under any illuminants and is suitable for final image formats. We also propose two methods to solve the optimal SRF, including the pseudo-inverse solution and Brandford method. Finally, we compare the proposed method with previous common-used method, and the experimental results can validate the performance of the proposed method.
机译:这项工作为在不同光源下进行比色场景再现提供了理论框架。首先,根据CIE色彩匹配实验的原理以及数码相机中的图像生产流程,我们分析并得出结论,由显示器确定的色彩空间的色彩匹配函数(CMF)是最佳的光谱响应函数(SRF) )在特定条件下进行场景重现。然后,我们想知道D65以外的其他光源的最佳SRF是什么。为此,我们提出了一种新的成像公式,其中SRF随着照明变化而变化。与以前的适用于D65光源的RAW格式的成像公式不同,我们的成像公式是一种理论公式,可以在任意光源下实现任意相机的色彩恒定,并且适用于最终图像格式。我们还提出了两种求解最佳SRF的方法,包括伪逆解和Brandford方法。最后,将所提方法与以前的常用方法进行了比较,实验结果可以验证所提方法的性能。

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