Improved method for spectral reflectance estimation and application to mobile phone cameras
Improved method for spectral reflectance estimation and application to mobile phone cameras
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DOI：
10.1364/josaa.449347
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发表时间：
2022-03-01
影响因子：
1.9
通讯作者：
Sakai, Hideaki
中科院分区：
文献类型：
--
作者：
Tominaga, Shoji;Nishi, Shogo;Sakai, Hideaki
我们提出了一种改进的方法来估计表面光谱反射率从RGB数码相机获得的图像数据。我们假设一个可见光范围内的多光谱图像采集系统，其中一个相机在多个光源下捕获物体场景的多个图像。首先，使用相机光谱灵敏度、表面光谱反射率、光源光谱功率分布、加性噪声项和增益参数来描述观察到的图像数据。然后，确定最佳的反射率估计，以最小化估计和原始表面光谱反射率之间的均方误差。我们试图进一步提高估计精度，并开发一种新的线性估计比维纳估计更一般的形式。此外，我们使用参考标准样品校准成像系统。最后，使用不同的移动的手机相机进行实验，以验证所提出的方法估计的表面光谱反射率。(c)2022光学出版集团
We propose an improved method for estimating surface-spectral reflectance from the image data acquired by an RGB digital camera. We suppose a multispectral image acquisition system in the visible range, where a camera captures multiple images for the scene of an object under multiple light sources. First, the observed image data are described using the camera spectral sensitivities, the surface-spectral reflectance, the illuminant spectral power distributions, an additive noise term, and a gain parameter. Then, the optimal reflectance estimate is determined to minimize the mean-square error between the estimate and the original surface-spectral reflectance. We attempt to further improve the estimation accuracy and develop a novel linear estimator in a more general form than the Wiener estimator. Furthermore, we calibrate the imaging system using a reference standard sample. Finally, experiments are performed to validate the proposed method for estimating the surface-spectral reflectance using different mobile phone cameras. (c) 2022 Optica Publishing Group