摘要
基于雾会降低图像对比度以及边界模糊的实际情况,提出一种基于颜色空间的单幅图像去雾算法。首先计算每个像素在RGB颜色空间中距离灰阶线(原点与点(255,255,255)所确定的直线)的距离,确定深度图像;然后根据灰阶线距离计算每个像素在颜色空间中的新位置,进而获得去雾后的图像。算法具有良好的实用性和并行计算可行性。实验结果表明:算法显著增强了图像的对比度、颜色饱和度等,具有良好的去雾效果。
With the fact that fog would degrade the contrast of image and the blur boundaries,this paper presented a single images dehazing algorithm with pixel level based on RGB color space.It calculated the pixels distance to gray level line（determined by（255,255,255） and（0,0,0））every pixel in RGB color space to estimate depth image,and then calculated new position of all pixels according to distance to gray line in color space for obtaining dehazed image.The algorithm has good practicality and feasibility of parallel computation.The result shows that the algorithm significantly enhances the image contrast,color saturation,and other characters and gets a ideal effect of dehazing
出处
《计算机应用研究》
CSCD
北大核心
2012年第9期3591-3593,共3页
Application Research of Computers
基金
成都信息工程学院人才引进项目(KYTZ201040)
关键词
去雾
灰阶线
灰阶线距离
RGB颜色空间
dehazing
gray line
distance to gray line
color space for RGB
