This survey article is concerned with the emergence of vision augmentation AI tools for
enhancing the situational awareness of first responders (FRs) in rescue operations. More …

Single image deraining (SID) is a challenging problem since the rainy images contain a
variety of backgrounds with rain streaks of different directions and densities. Though …

Deep convolutional neural networks have been popularly applied in single-image deraining
recently. Nevertheless, as the network becomes deeper, it is easy to cause training over …

Various vision-based tasks suffer from inaccurate navigation and poor performance due to
inevitable problems, such as adverse weather conditions like haze, fog, rain, snow, and …

Image deraining is an important task for the outdoor computer vision system in the rain days.
Deep learning with attention mechanism has shown promising performance for rain …

The existing deraining methods have obtained noteworthy improvements, but it is a
challenging problem to extend the methods for complicated rain conditions where rain …

Image rain removal is an essential and challenging low-level task in computer vision. In
recent years, although great progress has been achieved in the field of image and video …

Existing image deraining and desnowing methods are typically trained under specific
weather conditions, which limits their effectiveness in locating rain streaks and snowflakes in …

The existing state-of-the-art deraining methods rely on a bulky network structure to
accurately capture rain streaks, resulting in prohibitive memory consumption and …