Optimization of spectral sensitivities with Gaussian distribution functions for a color image acquisition device in the presence of noise
Optimization of spectral sensitivities with Gaussian distribution functions for a color image acquisition device in the presence of noise
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DOI：
10.1117/1.2159480
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发表时间：
2006
影响因子：
1.3
通讯作者：
N. Shimano
中科院分区：
文献类型：
--
作者：
N. Shimano
在色彩管理系统的早期阶段，使用彩色图像获取设备获取关于对象的色度信息是重要的。由设备响应估计的比色值的准确性不仅取决于一组传感器的光谱灵敏度，还取决于设备中存在的噪声。我们解决了基于色度评估模型的一组具有高斯分布函数的光谱灵敏度的优化问题。证明了最优传感器的设计取决于在人类视觉空间和使SLVΛ1/2矩阵的奇异值最大化的子空间之间找到适当的平衡，以增加对噪声的鲁棒性，其中S、L、V和Λ分别表示传感器矩阵、光源的对角矩阵、基矩阵和具有反射光谱自相关矩阵的特征值的对角矩阵。
The acquisition of the colorimetric information about an object using a color image acquisition device is important at an early stage in a color management system. The accuracy of the colorimetric values estimated by the device responses depends not only on the spectral sensitivities of a set of sensors but also on the noise present in the devices. We address the optimization of a set of spectral sensitivities with Gaussian distribution functions based on a colorimetric evaluation model. It is demonstrated that the design of optimal sensors is contingent on finding the right balance between the human visual subspace and the subspace that maximizes the singular values of a matrix SLVΛ 1/2 to increase the robustness to noise, where S , L , V , and Λ represent a sensor matrix, a diagonal matrix for an illuminant, a basis matrix, and a diagonal matrix with eigenvalues of an autocorrelation matrix of reflectance spectra, respectively.