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

Single image deraining regards an input image as a fusion of a background image, a
transmission map, rain streaks, and atmosphere light. While advanced models are proposed …

This paper proposes a single image haze removal algorithm that shows a marked
improvement on the color attenuation prior-based method. Through a vast number of …

Existing deep deraining models are mainly learned via directly minimizing the statistical
differences between rainy images and rain-free ground truths. They emphasize learning a …

Removing rain from images is of a great importance to various applications such as
autonomous driving, drone piloting, and photo editing. Conventional methods rely on some …

Since rain has a negative impact on the image processing, traditional image-based target
detection algorithms perform poorly on rainy days. The traditional sparse coding based rain …

Single image rain streak removal is a well-explored topic in the field of computer vision. The
de-raining problem is modeled as an image decomposition task where a rainy image is …

Removing rain streaks from a single image continues to draw attentions today in outdoor
vision systems. In this paper, we present an efficient method to remove rain streaks. First, the …

Removing rain effects from an image is of importance for various applications such as
autonomous driving, drone piloting, and photo editing. Conventional methods rely on some …

High-quality image de-raining is a challenging task that has been given considerable
importance in recent times. To begin with, this problem is modeled as an image …