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 …

Rain streaks in the air appear in various blurring degrees and resolutions due to different
distances from their positions to the camera. Similar rain patterns are visible in a rain image …

Deep learning (DL) methods have achieved state-of-the-art performance in the task of single
image rain removal. Most of current DL architectures, however, are still lack of sufficient …

Rain streaks can severely degrade the visibility, which causes many current computer vision
algorithms fail to work. So it is necessary to remove the rain from images. We propose a …

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 …

We propose a new deep network architecture for removing rain streaks from individual
images based on the deep convolutional neural network (CNN). Inspired by the deep …

Single image rain removal is a typical inverse problem in computer vision. The deep
learning technique has been verified to be effective for this task and achieved state-of-the-art …

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 …

In this paper, we address a rain removal problem from a single image, even in the presence
of heavy rain and rain streak accumulation. Our core ideas lie in our new rain image model …

Rain streaks, particularly in heavy rain, not only degrade visibility but also make many
computer vision algorithms fail to function properly. In this paper, we address this visibility …