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 …

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 …

Rain removal from a video is a challenging problem and has been recently investigated
extensively. Nevertheless, the problem of rain removal from a single image was rarely …

In this paper, we propose an efficient algorithm to remove rain or snow from a single color
image. Our algorithm takes advantage of two popular techniques employed in image …

In this paper, we propose a new rain and snow removal method through using low
frequency part of a single image. It is based on a key difference between clear background …

Varying weather conditions, including rainfall and snowfall, are generally regarded as a
challenge for computer vision algorithms. One proposed solution to the challenges induced …

Images captured by outdoor vision systems can often be affected by rain weather, resulting
in severe degradation of the visual quality of the captured images. Therefore, image …

Dynamic weather conditions, such as rain and snow, degrade the performance of vision
algorithms, which is served for video surveillance and analysis tasks. Many methods have …

Arbitrary neural style transfer has been a popular research topic due to its rich application
scenarios. Effective disentanglement of content and style is the critical factor for synthesizing …

Rain and snow bring poor visibility at outdoor vision systems. The common used image
processing methods may be not suitable for a degraded image. In this paper, a guidance …