机场跑道图像去雾增强技术研究

Research on Image Defogging Enhancement Technology for Airport Runway

随着计算机视觉的发展,图像去雾已成为计算机视觉的重要研究方向.在雾、霾等恶劣天气下采集的图像会由于大气散射的作用而被严重降质,其图像对比度低,物体特征难以辨认,此类图像不仅视觉效果差、图像观赏性低、后期处理的难度加大,更甚者在特殊场景下,会带来一些安全隐患.因此,图像去雾增强就显得尤为重要.本研究基于机场跑道雾天环境,对引入一定噪声的引导滤波算法进行改进,实现图像去雾增强.实验结果表明,改进后的引导滤波无论是增强效果还是处理速度都有明显优势.

With the development of computer vision,image defogging has become an important research orientation in computer vision. Due to the atmospheric scattering function of image acquisition in fog,haze and some other adverse weather,the image quality can be seriously degraded. In doing so,image contrast is reduced so that it＇s difficult to identify the characteristics of objects. On one hand,the visual effect is poor while on the other hand,the image is not good enough to be appreciated and meanwhile,the post processing will be negatively affected. Even on more special occasions,bad-quality image will bring some security risks,especially on the airport runway. Therefore,image defogging enhancement is particularly important.The paper,based on the foggy environment of airport runway,improves the guided filtering algorithm with some noise in order to enhance the image defogging. The experimental results show that the improved guided filtering has obvious advantages in both effects enhancement and the processing speed.