IHS色彩空间下基于Curvelet变换的汽车抗晕光方法

Vehicles' Anti-halation Method Based on Curvelet Transform in IHS Color Space

针对夜间行车滥用远光灯,易造成驾驶员晕光的问题,提出一种在IHS色彩空间下基于Curvelet变换融合可见光和红外图像的抗晕光方法。该方法利用Curvelet图像的边缘、轮廓等细节信息更加清楚,并结合IHS法能消除晕光,并显著提高融合图像的清晰度和对比度,更利于人眼观察。

For the driver halation problem at night caused by the abuse of high beam lights,this paper proposed an anti-halation method of visible and infrared image fusion based on Curvelet transform in IHS color space.The method uses anisotropy of Curvelet transform’s support interval to express the two-dimensional information of the image effectively,so that the edges,contours and other details of the fused image are shown more clear.The IHS transform preserves color information of the original image to avoid color distortion.The experimental results show that the method can eliminate halation and significantly improve the clarity and contrast of the fused image,making it better to observe.