| 一种暗通道先验去雾后图像参数的调节方法 |
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| 引用本文： | 黄品高,叶懋,张子方,唐宁,赵鹏,周萍.一种暗通道先验去雾后图像参数的调节方法[J].电视技术,2016,40(7):118-122. |
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| 作者姓名： | 黄品高 叶懋 张子方 唐宁 赵鹏 周萍 |
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| 作者单位： | 1. 桂林电子科技大学,广西桂林,541004;2. 天津市联大通讯发展有限公司,天津,300000 |
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| 基金项目： | 基于域知识的自定义WEB对象自动抽取技术 |
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| 摘 要： | 针对在暗通道先验去雾方法中图像亮度随着去雾深度加深而降低的情况,分析了导致图像亮度降低的原因,并结合户外自动白平衡的有雾图像,提出了一种采用图像能量回补来调节图像参数的方法,以此来提高图像亮度和对比度.实验结果表明,通过对去雾后图像损失的能量进行回补,对于不同的去雾深度,图像的亮度和对比度都能得到较好的调节.
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| 关 键 词： | 去雾 暗通道先验 图像能量回补 对比度 |
| 收稿时间： | 2016/3/23 0:00:00 |
| 修稿时间： | 2016/5/18 0:00:00 |
A Method for Adjusting the Parameters of Image Dehazed by Method of Dark Channel Prior |
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| Affiliation: | (1. Guilin University of Electronic Technology,GUILIN UNIVERSITY OF ELECTRONIC TECHNOLOGY,Tianjin General Assembly Communication Development Co.,Guilin University of Electronic Technology,Guilin University of Electronic Technology,Guilin University of Electronic Technology |
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| Abstract: | When a hazed image is dehazed by method of dark channel prior,its brightness will decrease with the depth of fog removed. In view of that, the reason of the problem is analyzed in this paper,and a method is proposed to adjust the parameters of the image by compensating the lost energy of the image. The results of experiment show that the energy loss of the image can be complemented and the brightness and contrast of the image can be adjusted well for different depth of fog removed. |
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| Keywords: | Dehazing Dark channel prior Image energy complement Contrast |
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