建立首个完整相机光谱响应模型，提升颜色与光谱精度。
Comprehensive Modeling of Camera Spectral and Color Behavior
- 构建端到端相机光谱响应模型，融合光照变化影响
- 在多种光照下验证，显著提升颜色保真度与光谱准确性
- 适合科研、工业和创意领域需要高光谱精度的场景
数字相机的光谱响应定义了场景辐射与像素强度之间的映射关系。尽管其至关重要，目前尚无全面模型能涵盖从光输入到像素输出的全过程交互。本文提出一种新方法，建模RGB数字相机的光谱响应，填补该空白。此类模型对需要精确颜色与光谱数据解读的应用至关重要。所提模型在不同成像场景下通过改变光照条件进行测试，并基于实验数据验证。结果表明，该模型有效提升颜色保真度与光谱准确性，在机器视觉、遥感和光谱成像中具有重要意义。该方法为科学、工业及创意领域中需高光谱精度的相机系统优化提供了有力工具。
原文摘要 · Abstract (English)
The spectral response of a digital camera defines the mapping between scene radiance and pixel intensity. Despite its critical importance, there is currently no comprehensive model that considers the end-to-end interaction between light input and pixel intensity output. This paper introduces a novel technique to model the spectral response of an RGB digital camera, addressing this gap. Such models are indispensable for applications requiring accurate color and spectral data interpretation. The proposed model is tested across diverse imaging scenarios by varying illumination conditions and is validated against experimental data. Results demonstrate its effectiveness in improving color fidelity and spectral accuracy, with significant implications for applications in machine vision, remote sensing, and spectral imaging. This approach offers a powerful tool for optimizing camera systems in scientific, industrial, and creative domains where spectral precision is paramount.
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