| 人造光照下的单幅雾天图像复原 |
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| 引用本文： | 鲁 丹,方 帅,邵 堃.人造光照下的单幅雾天图像复原[J].计算机工程与应用,2015,51(22):187-192. |
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| 作者姓名： | 鲁 丹 方 帅 邵 堃 |
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| 作者单位： | 1.合肥工业大学 计算机与信息学院，合肥 230009
2.中国科学院 安徽光学精密机械研究所，合肥 230031 |
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| 摘 要： | 当前基于单幅雾天图像复原算法的研究都是在光照充足的情形下（白天），这种情形下的光照主要来自天空光。然而，对于在光照主要来自人造光（夜间）的雾天图像复原算法的研究屈指可数。因此提出了新的基于人造光照下的雾天成像模型，并同时考虑了不均匀的环境光和对图像的光照补偿。检测出光源位置，根据光源的发光特性求出环境光和光照补偿系数，利用提出的新模型求出清晰的图像，使用基于边缘颜色恒常性（EBCC）来对颜色进行校正。实验结果表明，该算法优于其他算法。
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| 关 键 词： | 去雾 人造光 颜色恒常性 |
Single image de-haze under illumination from artificial light sources |
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| LU Dan,FANG Shuai,SHAO Kun.Single image de-haze under illumination from artificial light sources[J].Computer Engineering and Applications,2015,51(22):187-192. |
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| Authors: | LU Dan FANG Shuai SHAO Kun |
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| Affiliation: | 1.School of Computer and Information, Hefei University of Technology, Hefei 230009, China
2.Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China |
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| Abstract: | Current researches on single image de-hazing always premise a sufficient illumination, which refers to skylight in the daytime. However in condition that illumination mainly comes from artificial light sources, the current algorithm will not work well and related researches are rare. This paper presents a novel image de-hazing algorithm under illumination from artificial light sources, which considers non-uniform illumination and light compensation. A detecting algorithm is proposed to confirm the position of artificial light sources; atmospheric light and compensatory coefficient are obtained according to artificial light characteristic; after that, the haze-free image is effectively recovered based on a newly proposed imaging model; edge based color constancy is used to correct color. Experimental results show that this algorithm can get good performance under non-uniform illumination. |
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| Keywords: | haze removal artificial light color constancy |
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