基于人类色彩视觉的光谱过器选择,用于光谱反射恢复
Shijun Niu1, Guangyuan Wu1, Xiaozhou Li2
1Faculty of Light Industry, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China.
Sensors (Basel, Switzerland)
|June 10, 2023
概括
这项研究引入了一种新的方法来选择基于人类色彩视觉的光谱过器. 该方法优化了多光谱系统的过器集,提高了光谱回收精度和系统性能.
科学领域:
- 颜色科学 颜色科学
- 光学工程是指光学工程.
- 图像处理 图像处理
背景情况:
- 频谱过器是多频谱采集系统中的关键组件.
- 最佳的过器选择直接影响光谱回收精度.
- 现有的方法可能无法充分利用人类视觉系统的特点.
研究的目的:
- 提出一种高效的,基于人类色彩视觉的方法,以进行最佳的光谱选.
- 为了提高多光谱成像中的光谱反射回收精度.
- 提高多光谱采集系统的稳定性和稳定性.
主要方法:
- 使用LMS圆响应函数权衡波器灵敏度曲线.
- 计算和分析加权面积,以选择初始过器.
- 代组合过器并使用光谱恢复模型与自定义错误评分来评估性能.
- 根据L,M和S权重选择最佳的过器集.
主要成果:
- 拟议的方法确定了初始波器,与人类视觉系统的灵敏度密切匹配.
- 根据不同权重的自定义错误分数排名,选择了最佳的过器集.
- 实验结果显示,与现有方法相比,光谱和色度准确度更高.
- 该方法表现出良好的稳定性和强度.
结论:
- 基于人体色彩视觉的过器选择方法有效地提高了光谱恢复精度.
- 优化的过器提高了多光谱采集系统的性能.
- 这种方法为优化成像系统中的光谱灵敏度提供了有价值的策略.
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