Abstract Single Image D eraining (SID) aims at recovering the rain-free background from an
image degraded by rain streaks. For the powerful fitting ability of deep neural networks and …

Recent years have witnessed significant advances in image deraining due to the kinds of
effective image priors and deep learning models. As each deraining approach has …

Single image deraining is important for many high-level computer vision tasks since the rain
streaks can severely degrade the visibility of images, thereby affecting the recognition and …

Learning-based image deraining methods have made great progress. However, the lack of
large-scale high-quality paired training samples is the main bottleneck to hamper the real …

Rain removal is an important but challenging computer vision task as rain streaks can
severely degrade the visibility of images that may make other visions or multimedia tasks fail …

Image deraining has achieved considerable progress based on supervised learning with
synthetic training pairs, but is usually limited in handling real-world rainy images. Although …

In the field of multimedia, single image deraining is a basic pre-processing work, which can
greatly improve the visual effect of subsequent high-level tasks in rainy conditions. In this …

While deep convolutional neural networks (CNNs) have achieved great success on image
de-raining task, most existing methods can only learn fixed mapping rules between paired …

Underwater image enhancement algorithms have attracted much attention in underwater
vision task. However, these algorithms are mainly evaluated on different datasets and …

Visible watermark removal aims to erase the watermark from watermarked image and
recover the background image, which is a challenging task due to the diverse watermarks …