多光谱彩色成像中高斯型滤色器的通道数确定  

Optimal Number of Spectral Channels for Gaussian Filter Sets in Multispectral Color Imaging

作　　者：李遂贤 李强[2] 贺金平[2] 谢蓄芬[3] 章夫正 梁静 Li Suixian;Li Qiang;He Jinping;Xie Xufen;Zhang Fuzheng;Liang Jing(Flight College,Binzhou University,Binzhou 256600,Shandong,China;Beijing Institute of Space Mechanics and Electricity,Beijing 100094,China;School of Information Science and Engineering,Dalian Polytechnic University,Dalian 116034,Liaoning,China)

机构地区：[1]滨州学院飞行学院,山东滨州256600 [2]北京空间机电研究所,北京100094 [3]大连工业大学信息科学与工程学院,辽宁大连116034

出　　处：《光学学报》2024年第3期76-86,共11页Acta Optica Sinica

基　　金：山东省自然科学基金(ZR2022MF350)。

摘　　要：系统地探究了典型多光谱彩色成像系统的最优光谱通道数的确定问题。在前期多目标滤色片优化选取方法的基础上,将仅限于相同通道滤色器优化的概念拓展至不同通道数最优滤色器的优化,从而达到最优通道数确定的目的。基于Munsell光谱反射率数据集构建光谱反射率成像目标,通过真实CCD成像传感器的光谱灵敏度、D65光源的光谱功率分布以及高斯滤色器模型和最大线性独立滤色器选择算法,在10个噪声水平下实现了3~31个光谱通道,即29个虚拟多光谱相机对成像目标的光谱反射率重建的仿真计算。结果表明,通道数小于8时,5通道滤色器表现最优;和A光源相比,D65光源下的5通道最优滤色器的最大带宽达到80 nm,性能有显著的提升。Objective As the number of spectral channels significantly affects the system complexity,data load,time resolution,and spatial resolution of images,a multispectral color imaging system that aims to accurately reproduce the visible spectrum reflectance of object surfaces is preferred using a limited number of spectral channels.However,seldom literature has been explained statistically for the determination of numbers of spectral channels.The heuristic or even arbitrary number of spectral channel configurations challenges the purpose of multispectral color imaging for accurate spectral reconstruction and color reproduction.It is even more crucial with the emergence of various modalities of color imaging sensors,such as those of with liquid crystal tunable filters(LCTFs)and multispectral filter arrays(MSFAs)and recently developed nanostructure color filters.Previous evidence shows that the spectral transmittance of the optimal filter set for multispectral color cameras is Gaussian curves.We build upon the previously proposed multi-objective optimization method for filter selection with specific channels and systematically explore the way to determine the optimal number of spectral channels for typical multispectral color imaging systems with filters modeled by Gaussian functions.Methods The workflow for optimizing the number of spectral channels in the multispectral color imaging system studied in this research is illustrated in Fig.1.Firstly,we provide a systematic theoretical presentation of the spectral sensitivity optimization by filter selection for the broadband multispectral imaging and the method for the channel numbers optimization,which could scarcely be found in the literature published so far to the best of our knowledge.The highlight of the proposed method is built upon the previously proposed multi-objective optimization method for filter selection,and we systematically explore the way to determine the optimal number of spectral channels for typical multispectral color imaging systems.Then,we investiga

关 键 词：色度学 成像系统 计算方法 光谱通道数 多光谱彩色成像 

分 类 号：O436[机械工程—光学工程]