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首页> 外文期刊>Journal of Imaging Science and Technology >Application of a Colorimetric Evaluation Model to Multispectral Color Image Acquisition Systems
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Application of a Colorimetric Evaluation Model to Multispectral Color Image Acquisition Systems

机译：比色评估模型在多光谱彩色图像采集系统中的应用

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摘要

With the recent advances in color management systems, the estimation of accurate colorimetric values of objects being imaged by the use of sensor responses becomes an important function of color image acquisition devices such as digital cameras and color scanners. Therefore, colorimetric evaluation of a set of sensors is important to evaluate the colorimetric performance of the sensors. It is well known that the colorimetric quality of the sensors depends not only on the spectral sensitivities but also on the noise present in them. Although several evaluation models have been proposed, application of the models to real color image acquisition devices has not been appeared since it was impossible without prior knowledge about the noise present in the devices. In this article, a new model to estimate the noise variance of an image acquisition system is proposed based on the colorimetric evaluation model and for the first time the evaluation model was applied to real multispectral cameras by using the estimated noise variance. It is confirmed by the experiments that the proposed colorimetric quality is in good agreement with the experimental results and that the noise variance of the image acquisition system can be accurately estimated by the proposal.
机译：随着色彩管理系统的最新发展，通过使用传感器响应来估计要成像的对象的准确比色值成为彩色图像采集设备（如数码相机和彩色扫描仪）的重要功能。因此，一组传感器的比色评估对于评估传感器的比色性能很重要。众所周知，传感器的比色质量不仅取决于光谱灵敏度，还取决于它们中存在的噪声。尽管已经提出了几种评估模型，但是由于没有关于设备中存在的噪声的先验知识是不可能的，因此尚未出现将模型应用于真实彩色图像采集设备的情况。在本文中，基于比色评估模型，提出了一种估计图像采集系统噪声方差的新模型，并且首次使用估计的噪声方差将评估模型应用于实际的多光谱相机。实验证明，所提出的比色质量与实验结果吻合良好，可以准确地估计图像采集系统的噪声方差。

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