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首页> 外文期刊>Journal of Imaging Science and Technology >Unified Measure of Goodness and Optimal Design of Spectral Sensitivity Functions
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Unified Measure of Goodness and Optimal Design of Spectral Sensitivity Functions

机译：优度的统一度量和光谱灵敏度函数的优化设计

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摘要

To evaluate and optimally design spectral sensitivity functions for color input devices, a metric that incorporates practical, significant requirements is desired. The candidate metrics are Vora-Trussell's μ-factor, a metric based on geometrical difference, and the proposed Unified Measure of Goodness, or UMG, which simultaneously considers the imaging noise and its propagation, colorimetric reproduction accuracy and multi-illuminant color correction. A systematic approach is presented to searching for an optimal set of spectral sensitivity functions from among the complete combinations of the given filter components. Comparative computation results show that μ-factor is not a competent metric for the optimal design of camera spectral sensitivity functions while UMG is able to pick out the optimum successfully. Furthermore, the ultimate optimal set has been obtained by selecting the set with highest μ-factor value from the sub-optimal collection obtained with UMG. This hierarchical approach comprehensively considers the advantages of both quality metrics. The candidates of the optimal sets based on the given filter components are experimentally tested and presented in the end of the article.
机译：为了评估和优化设计彩色输入设备的光谱灵敏度功能，需要一种结合实际的重要要求的度量标准。候选度量为Vora-Trussell的μ因子（基于几何差异的度量）以及拟议的优度统一度量（UMG），它同时考虑了成像噪声及其传播，比色再现精度和多光源色彩校正。提出了一种系统的方法，用于从给定滤波器组件的完整组合中搜索光谱灵敏度函数的最佳集合。比较计算结果表明，μ因子不是相机光谱灵敏度功能的最佳设计的有效度量标准，而UMG能够成功地选择最佳参数。此外，通过从UMG获得的次优集合中选择具有最高μ因子值的集合，可以获得最终的最佳集合。这种分层方法全面考虑了两种质量指标的优势。对基于给定过滤器组件的最佳集合的候选进行了实验测试，并在本文结尾处进行了介绍。

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