A New Intrinsic-Lighting Color Space for Daytime Outdoor Images

A New Intrinsic-Lighting Color Space for Daytime Outdoor Images
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适用于日间户外图像的新固有照明色彩空间

DOI:
10.1109/tip.2016.2642788
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发表时间:
2017-02
影响因子:
10.6
通讯作者:
ong
ong
中科院分区:
计算机科学1区
文献类型:
--
作者:
Han Zhi;Tian Ji;ong;Qu Liangqiong;Tang Y;ong

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从自然图像中提取或分离固有信息和光照对于更好地解决计算机视觉任务至关重要。在本文中,我们提出了一个新的基于光照的颜色空间,IL(内在信息和照明水平)空间。它的前两个通道表示2D固有信息,第三个通道用于照明水平。IL颜色空间与RGB颜色空间具有一一对应关系。IL颜色空间的一个有价值的好处是,可以通过直接在照明通道上操作来实现与照明相关的处理。作为一个例子,基于提取的照明通道,我们提出了一种新的算法来估计图像的本征照明水平,从而获得无阴影的彩色图像和重光照序列。与现有的用于显示或打印的颜色空间相比,IL颜色空间直观地分别显示颜色的反射率和照明水平的信息
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
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期刊: --
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