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首页> 外文期刊>Journal of Imaging Science and Technology >Bright Chromagenic Algorithm for Illuminant Estimation
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Bright Chromagenic Algorithm for Illuminant Estimation

机译:明亮的色度估算算法

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摘要

This article proposes a new algorithm for.illuminant estimation based on the concept of chromagenic color constancy, where two pictures are taken from each scene: A normal one and one where a colored filter is placed in front of the camera. The basic formulation of the chromagenic algorithm has inherent weaknesses, namely, a need for perfectly registered images and occasional large errors in illuminant estimation. Our first contribution is to analyze the algorithm performance with respect to the reflectances present in a scene and demonstrate that fairly bright and de-saturated reflectances (e.g., achromatic and pastel colors) provide significantly better chromagenic illuminant estimation. We thus propose the bright chromagenic algorithm and show that it not only remedies the large error problem but also allows us to relax the image registration constraint. Experiments performed on a variety of synthetic and real data show that the newly designed bright chromagenic algorithm significantly outperforms current illuminant estimation methods, including those having a substantially higher complexity.
机译:本文提出了一种基于发色颜色恒定性概念的光源估计新算法,该算法从每个场景中拍摄两张图片:一个正常场景,一个在相机前面放置彩色滤光片的场景。发色算法的基本公式具有内在的弱点,即需要完美配准的图像,并且在光源估计中偶尔会出现较大的误差。我们的第一个贡献是针对场景中存在的反射率分析算法性能,并证明相当明亮和去饱和的反射率(例如消色差和柔和色)可提供更好的发色光源估计。因此,我们提出了一种明亮的生色算法,并表明它不仅可以解决大误差问题,而且可以使我们放宽图像配准约束。对各种合成数据和真实数据进行的实验表明,新设计的明亮色致生成算法显着优于当前的光源估计方法,包括那些具有更高复杂性的方法。

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