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首页> 外文会议>Tenth Color Imaging Conference: Color Science and Engineering Systems, Technologies, Applications Nov 12-15, 2002 Scottsdale, Arizona, USA >Camera Sensitivity Evaluation and Primary Optimization Considering Color Constancy
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Camera Sensitivity Evaluation and Primary Optimization Considering Color Constancy

机译：考虑色彩稳定性的相机灵敏度评估和初步优化

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摘要

The evaluation of input device spectral sensitivity is often performed in terms of colorimetric quality and potential noise caused by overlaps among spectral sensitivities. Based on the assumption that the white balancing function should aim at color constancy rather than chromatic adaptation, we have proposed a new measure to evaluate camera sensitivities. We measure how accurate camera estimates the colors of typical objects under a standard light source from the ones under different light sources. Firstly, we apply these three evaluation measures, which are colorimetric error, noise amount, and newly proposed color constancy prediction error (CCPE), to eight sets of camera sensitivities. Thus it is found that sensitivity set of a conventional TV camera performs better CCPE than the E-H-P primaries. Secondly, we optimized primary conversion with a linear diagonal matrix transform, a. k. a. von Kries transformation, in order to minimize CCPE. The sensitivity obeying the Luther condition does not necessarily perform the best while the conventional TV camera sensitivity gives the best result. Lastly, we evaluate the optimized results with spectral reflectance database for several light sources including fluorescent lamps. We found that a linear combination of color rendering properties (Ra) of light sources and reciprocal color temperature difference from the standard light source well estimates CCPE.
机译：输入设备光谱灵敏度的评估通常是根据比色质量和光谱灵敏度之间重叠引起的潜在噪声进行的。基于白平衡功能应该针对色彩恒定而不是色彩适应的假设，我们提出了一种评估相机敏感度的新措施。我们测量相机在不同标准光源下从标准光源下估计物体的颜色的准确度。首先，我们将这三种评估方法，即色度误差，噪声量和新提出的色彩恒定性预测误差（CCPE）应用于八组相机感光度。因此，发现传统电视摄像机的感光度设置比E-H-P原色相机具有更好的CCPE。其次，我们使用线性对角矩阵变换a优化了一次转换。 k。一个。 von Kries转换，以最小化CCPE。遵循路德条件的灵敏度不一定会达到最佳，而传统的电视摄像机的灵敏度则可以提供最佳结果。最后，我们使用光谱反射率数据库评估了包括荧光灯在内的几种光源的优化结果。我们发现光源的显色特性（Ra）与标准光源的倒数色温差的线性组合很好地估计了CCPE。

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