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The Influence of Sensor Spectral Sensitivities on Illuminant Estimation Methods

机译:传感器光谱灵​​敏度对光源估计方法的影响

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摘要

The spectral characteristics of sensor sensitivities are an important component of image signal formation and also essential knowledge for illuminant estimation methods. Due to the wide variation of sensor spectral sensitivities in cameras, the efficiency of illuminant estimation methods could also be affected. In this paper, we study the influence of sensor variation on the efficiency of different illuminant estimation methods, and find out the type of sensor sensitivities that have better performance for corresponding methods. Also, we propose a way of using spectral sensitivity replacement for methods to be applicable with unknown sensor information. The optimal replacing sensor sensitivities can be obtained through testing on a series of sensor combinations. In addition, the testing result reveals the efficiency descent degrees for those methods when using the replacing sensors. Those insensitive to incorrect sensor information are better methods to be applied to images with unknown spectral sensitivities.
机译:传感器灵敏度的光谱特性是图像信号形成的重要组成部分,也是光源估计方法的基本知识。由于摄像机中传感器光谱灵​​敏度的变化很大,因此光源估计方法的效率也会受到影响。在本文中,我们研究了传感器变化对不同光源估计方法效率的影响,并找出了对相应方法具有更好性能的传感器灵敏度类型。此外,我们提出了一种使用光谱灵敏度替换的方法,以适用于未知传感器信息的方法。可以通过对一系列传感器组合进行测试来获得最佳的更换传感器灵敏度。此外,测试结果显示了使用更换传感器时这些方法的效率下降程度。那些对不正确的传感器信息不敏感的方法是更好的方法,可应用于具有未知光谱灵敏度的图像。

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