Rain can cause performance degradation of outdoor computer vision tasks. Thus, the
exploration of rain removal from videos or a single image has drawn considerable attention …

Removing rain streaks from a single image has been drawing considerable attention as rain
streaks can severely degrade the image quality and affect the performance of existing …

Most deraining works focus on rain streaks removal but they cannot deal adequately with
heavy rain images. In heavy rain, streaks are strongly visible, dense rain accumulation or …

Existing enhancement methods are empirically expected to help the high-level end
computer vision task: however, that is observed to not always be the case in practice. We …

In this paper, we address the problem of video rain removal by constructing deep recurrent
convolutional networks. We visit the rain removal case by considering rain occlusion …

Rain removal is important for improving the robustness of outdoor vision based systems.
Current rain removal methods show limitations either for complex dynamic scenes shot from …

A novel algorithm to remove rain or snow streaks from a video sequence using temporal
correlation and low-rank matrix completion is proposed in this paper. Based on the …

Rain streaks removal is an important issue in outdoor vision systems and has recently been
investigated extensively. In this paper, we propose a novel video rain streak removal …

The existing snow/rain removal methods often fail for heavy snow/rain and dynamic scene.
One reason for the failure is due to the assumption that all the snowflakes/rain streaks are …

Although convolutional neural networks (CNNs) have been proposed to remove adverse
weather conditions in single images using a single set of pre-trained weights, they fail to …