Illumination separation of non-Lambertian scenes from a single hyperspectral image.
Illumination separation of non-Lambertian scenes from a single hyperspectral image.
复制标题
从单个高光谱图像中分离非朗伯场景的照明。
作者：
Tongkui Su;Yu Zhou;Yao Yu;Xun Cao;S. Du
在本文中，我们提出了一个通用框架，用于根据单个高光谱图像中的全局镜面反射信息来估计照明光谱。通过利用镜面反射独立子空间，我们迭代地分离反射率分量并形成权重方案，以找到镜面反射污染的像素。之后，可以通过分解加权镜面污染像素来直接估计照明。所提出的方法能够直接有效地分解单个高光谱图像的照明和反射分量。我们在模拟和实际实验中证明了我们的方法的稳健性和准确性。此外，我们捕获具有地面真实照明的高光谱图像数据集，以定量比较性能。
In this paper, we propose a general framework to estimate the spectrum of the illumination from global specular information in a single hyperspectral image. By utilizing the specular independent subspace, we iteratively separate the reflectance components and shape a weight scheme in order to find specular-contaminated pixels. After that, the illumination can be directly estimated by factorizing the weighted specular-contaminated pixels. The proposed method enables a direct and effective decomposition of the illumination and reflectance components from a single hyperspectral image. We demonstrate the robustness and accuracy of our method on simulation and real experiments. Moreover, we capture a hyperspectral image dataset with ground-truth illumination to quantitative compare the performance.
DOI：
10.1364/josaa.3.001651
发表时间：
1986-10-01
影响因子：
1.9
作者：
BRAINARD, DH;WANDELL, BA
通讯作者：
WANDELL, BA