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首页> 外文期刊>Journal of Imaging Science and Technology >Estimation of Spectral Distribution of Scene Illumination from a Single Image
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Estimation of Spectral Distribution of Scene Illumination from a Single Image

机译:从单个图像估计场景照明的光谱分布

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This article proposes an illuminant estimation algorithm that estimate the spectral power distribution of an incident light source from a single image. The proposed illumination recovery procedure has two phases. First, the surface spectral reflectances are recovered. In this case, the surface spectral reflectances recovered are limited to the maximum achromatic region (MAR) which is the most achromatic and highly bright region of an image, after applying intermediate color constancy process using a modified gray-world algorithm. Next, the surface reflectances of the maximum achromatic region are estimated using the prin- cipal component analysis method along with a set of given Munsell samples.
机译:本文提出了一种光源估计算法,该算法可从单个图像估计入射光源的光谱功率分布。拟议的照明恢复程序分为两个阶段。首先,恢复表面光谱反射率。在这种情况下,在使用改进的灰度世界算法应用中间颜色恒定性处理之后,恢复的表面光谱反射率被限制为最大消色差区域(MAR),该最大消色差区域是图像的最大消色差和高度明亮的区域。接下来,使用主成分分析方法以及一组给定的孟塞尔样品,估算最大消色差区域的表面反射率。

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