基于斜角度雨线平移的全局稀疏去雨方法研究

Research on Global Sparse Rain Removal Method Based on Oblique Rain Line Translation

针对单幅图像雨线偏离垂直方向的现象,实现了斜角度雨线平移的全局稀疏去雨模型。文章算法利用中值滤波器对雨图像进行滤波处理,得到一个初步的雨线估计,并通过转换、平移、计算竖直方向梯度等策略使雨线垂直,然后,通过三个稀疏正则项构建全局稀疏模型进行去雨,最后,将通过全局稀疏模型进行雨线去除得到的图像进行对应的逆变换操作,得到无雨图像。实验结果表明,算法可较大程度地去除雨线并保留图像的背景细节信息。

Aiming at the phenomenon that the single image rain line deviation from the vertical direction,a global sparse rain line removal model with oblique angle rain line translation is implemented.In this paper,using median filter to filter the rain image,get a preliminary rain line estimation,and through conversion,translation,calculation of vertical gradient and other strategies make the rain line vertically,and then,through three sparse regular items build global sparse model to remove rain.Finally,the image obtained by rain line removal through global sparse model is transformed to obtain rain free image.The experimental results show that the algorithm can remove the rain line to a large extent and retain the background details of the image.