IEEE Trans Image Process. 2017 Feb;26(2):1031-1039. doi: 10.1109/TIP.2016.2642788. Epub 2016 Dec 21.
Extracting or separating intrinsic information and illumination from natural images is crucial for better solving computer vision tasks. In this paper, we present a new illumination-based color space, the IL (intrinsic information and lighting level) space. Its first two channels represent 2D intrinsic information, and the third channel is for lighting levels. The IL color space has a one-to-one correspondence with the RGB color space. One valuable benefit of the IL color space is that illumination-related processing can be realized by directly operating on the lighting channel. As an example, based on the extracted lighting channel, we propose a new algorithm to estimate the intrinsic lighting level of an image such that the shadow-free color image and relighting series are obtained. In contrast to the existing color spaces for display or printing, the IL color space intuitively shows the information of reflectance and lighting levels for colors separately.
从自然图像中提取或分离内在信息与光照对于更好地解决计算机视觉任务至关重要。在本文中，我们提出了一种基于光照的新色彩空间，即IL（内在信息与光照水平）空间。它的前两个通道表示二维内在信息，第三个通道用于光照水平。IL色彩空间与RGB色彩空间具有一一对应关系。IL色彩空间的一个重要优点是，与光照相关的处理可以通过直接对光照通道进行操作来实现。例如，基于提取的光照通道，我们提出了一种新算法来估计图像的内在光照水平，从而获得无阴影彩色图像和重光照序列。与现有的用于显示或打印的色彩空间不同，IL色彩空间直观地分别展示了颜色的反射率和光照水平信息。
