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 …

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 …

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 …

We present a general learning-based solution for restoring images suffering from spatially-
varying degradations. Prior approaches are typically degradation-specific and employ the …

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 …

Existing methods mainly handle single weather types. However, the connections of different
weather conditions at deep representation level are usually ignored. These connections, if …

Images obtained in poor weather circumstances such as fog, haze, smog, and thin cloud,
suffer from severe contrast, texture, edge, and color degradation issues. To restore these …

The capability of image deraining is a highly desirable component of intelligent decision-
making in autonomous driving and outdoor surveillance systems. Image deraining aims to …

Edge detection plays a vital role in numerous engineering and scientific applications,
serving as a crucial technique for identifying disruptions, irregularities, boundaries, and …

Images taken on snowy days often suffer from severe negative visual effects caused by
snowflakes. The task of removing snowflakes from a snowy image is known as image …