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首页> 外文期刊>Journal of Imaging Science and Technology >Characterization of a Digital Camera as an Absolute Tristimulus Colorimeter
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Characterization of a Digital Camera as an Absolute Tristimulus Colorimeter

机译：数码相机绝对三刺激色度计的表征

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摘要

An algorithm is proposed for the spectral and colorimetric characterization of digital still cameras (DSC) which allows them to be used as tele-colorimeters with CIE-XYZ color output, in cd/m~2. The spectral characterization consists in the calculation of the color-matching functions from the previously measured spectral sensitivities. The colorimetric characterization consists in transforming the raw RGB digital data into absolute tristimulus values CIE-XYZ (in cd/m~2) under variable and unknown spectroradiometric conditions. Thus, in the first stage, a gray balance was applied over the raw RGB digital data to convert them into RGB relative colorimetric values. In the second stage, an algorithm of luminance adaptation versus lens aperture was inserted in the basic colorimetric profile. Capturing the ColorChecker chart under different light sources, and comparing the estimated XYZ data according to the developed color model in relation to the measured XYZ data (in cd/m~2) using a tele-spectroradiometer, we verified that the proposed characterization model may be broken down into two portions. Firstly, there is the basic colorimetric profile in combination with the new luminance adaptation algorithm. Secondly, there is the linear correction term due only to the mismatch of the color matching functions of the camera. Although the linear color correction term works relatively well, despite the imposed initial conditions (unknown spectral content of the scene), the separation of the proposed characterization model into two portions (raw and corrected performance) would allow the future comparison of various commercial cameras.
机译：提出了一种用于数字静态相机（DSC）的光谱和比色特性的算法，该算法可以将它们用作具有CIE-XYZ颜色输出（以cd / m〜2表示）的远距色度计。光谱表征包括根据先前测得的光谱灵敏度计算色彩匹配函数。比色表征包括在可变和未知光谱辐射条件下将原始RGB数字数据转换为绝对三刺激值CIE-XYZ（以cd / m〜2为单位）。因此，在第一阶段，将灰度平衡应用于原始RGB数字数据，以将其转换为RGB相对色度值。在第二阶段中，将亮度适应度与镜头光圈的算法插入基本比色配置文件中。捕获不同光源下的ColorChecker图表，并使用远射光谱仪将根据开发的颜色模型将估计的XYZ数据与测得的XYZ数据（以cd / m〜2为单位）进行比较，我们验证了所提出的表征模型可以分为两部分。首先，结合了新的亮度自适应算法，有了基本的比色配置文件。其次，仅由于相机的色彩匹配功能不匹配而存在线性校正项。尽管线性颜色校正项的效果相对较好，但是尽管施加了初始条件（场景的未知光谱内容），但将建议的特征模型分为两部分（原始和校正后的性能）将可以在将来对各种商用相机进行比较。

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