【作者】 刘倩； 陈茂银； 周东华；

【Author】 Qian Liu, Maoyin Cben, Donghua Zhou Department of Automation, Tsinghua University, Beijing 100084, P.R.China

【机构】 清华大学信息学院自动化系；

【摘要】 雾霾等天气会导致室外图像可视性降低,进一步导致室外图像处理系统性能下降.本文给出一种基于单幅彩色或灰度图像的快速去雾算法.基于物理模型分析,仅利用均值滤波对环境光和全局大气光进行估计.本文算法简单有效,能够用于实时计算.实验表明,与其他算法相比较,结果具有很好的可视性.更多还原

【Abstract】 Images of outdoor scenes show poor visibility in presence of haze. This results in poor performance of many outdoor images progressing systems. In this paper, we present a fast haze removal method using a single color or gray level image. Based on the analyses of physical-based model, we estimate airlight and atmospheric light utilizing the simple average filter. Our method is very simple and efficient and achieves real-time computation. Experiments demonstrate that our results achieve as good visibility as a few state-of-art algorithms’.更多还原