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基于暗原色先验去雾算法的研究与改进
引用本文:聂,宁,吴四九,朱,明,程卫东.基于暗原色先验去雾算法的研究与改进[J].成都信息工程学院学报,2014(1):65-72.
作者姓名:    吴四九      程卫东
作者单位:[1]成都信息工程学院电子工程学院,四川成都610225 [2]成都信息工程学院信息中心,四川成都610225 [3]成都信息工程学院控制工程学院,四川成都610225
基金项目:四川省2010基础研究计划项目(2010JY0181)
摘    要:在雾天情况下,室外采集到的图像易受到噪声干扰,质量降低,清晰度下降。在对常用的几种图像去雾方法的对比分析及研究的基础上,提出了改进的基于小波变换结合暗原色先验去雾的快速算法。通过小波分解可求出近似环境光,对环境光,大气光的估计,可对原图像进行复原。实验表明,改进的算法不但去雾效果明显,图像色彩丰富,而且可以有效地减少运行时间,提高运行速度。

关 键 词:信号与信息处理  图像处理  去雾  小波分解  暗原色先验  快速

Research and Improvement of Defogging base on the Dark Grey Prior
NIE Ning,WU Si-jiu,ZHU Ming,CHENG Wei-dong.Research and Improvement of Defogging base on the Dark Grey Prior[J].Journal of Chengdu University of Information Technology,2014(1):65-72.
Authors:NIE Ning  WU Si-jiu  ZHU Ming  CHENG Wei-dong
Institution:1. School of Electronic Engineering, Chengdu University of Information Technology, Chengdu 610225, China; 2. Center of Informa- tion, Chengdu University of Information Technology, Chengdu 610225, China; 3. School of Control Engineering, Chengdu University of In- formation Technology, Chengdu 610225, China)
Abstract:On foggy days, outdoor images are likely to be influenced by noises, which decrease the clarity and quality of the images. Comparing several common methods of single image defogging, an improved fast defogging method based on wavelet decomposition with dark color prior is proposed in this paper. Wavelet decomposition can approxi- mately estimate the value of airglow, and it can restore the original images by estimating the Ambient Light and air- glow. The experiments proved that this method can defog the images effectively, and make the defogged images much more colorful while improving the computing speed dramatically.
Keywords:signal and information processing  image processing  defogging  wavelet decomposition  dark color prior  quickly
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