激光与光电子学进展, 2021, 58 (6): 0610013, 网络出版: 2021-03-16  

基于层先验的快速视频去雨算法 下载: 625次

Fast Video Rain Removal Algorithm Based on Layer Priors
作者单位
上海大学微电子研究与开发中心, 上海 200444
摘要
为了解决当前去雨算法恢复效果差、时效性一般的缺陷,提出了一种结合时间方向梯度与水平方向梯度的快速视频去雨算法。首先,将有雨图像分为背景层和雨痕层,并用背景层的时间方向梯度和雨痕层的水平方向梯度以及各层对应的预训练高斯混合模型作为先验条件,构建模型函数;其次,利用半二次分裂法对所得非凸函数进行等效变换,获得用于最小化的目标函数;最后,利用快速总变分法优化模型函数,得到模型函数的最优解。实验结果表明,相比其他算法,本算法的去雨恢复效果更优、时效性更好,且速度更快,平均峰值信噪比提升了1 dB以上。
Abstract
In order to solve the shortcomings of poor recovery effect and timeliness of current rain removal algorithms, this paper proposes a fast video rain removal algorithm that combines temporal gradient and horizontal direction gradients. First, the rain image is divided into a background layer and a rain race layer, and the model function is constructed by using the time direction gradient of background layer, the horizontal direction gradient of rain trace layer, and the corresponding pre-trained Gaussian mixture model of each layer as priori conditions; second, the semi quadratic splitting method is used to transform the non-convex function to obtain the objective function for minimization; finally, fast total variation method is used to optimize the model function to obtain the optimal solution of the model function. Experimental results show that, compared with other algorithms, the algorithm has better rain removal recovery effect, good timeliness and faster speed, and the average peak signal-to-noise ratio is improved by more than 1 dB.

潘登, 严利民. 基于层先验的快速视频去雨算法[J]. 激光与光电子学进展, 2021, 58(6): 0610013. Pan Deng, Yan Limin. Fast Video Rain Removal Algorithm Based on Layer Priors[J]. Laser & Optoelectronics Progress, 2021, 58(6): 0610013.

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