Improving the performance of autonomous vehicles in adverse weather conditions is vital for
the commercialization of such automated systems. Existing synthetic datasets for developing …

While the deep learning-based image deraining methods have made great progress in
recent years, there are two major shortcomings in their application in real-world situations …

Remote sensing (RS) dehazing is an extremely challenging task since the non-uniform
distribution of haze and fog severely degrade the images and difficult to extract features. To …

Raindrops adhering to the lens of UAVs can obstruct visibility of the background scene and
degrade image quality. Despite recent progress in image deraining methods and datasets …

Single image deraining is an extremely challenging problem since rain streaks severely
degrade the image quality and affect the performance of existing outdoor vision tasks. In …

摘要雨水会严重影响场景的能见度, 降低成像质量, 影响许多计算机视觉系统, 如视频监控,
自动驾驶等的正常工作. 因此从退化的含雨图像中去除雨水是一项迫切的任务 …

摘要针对现有的去雨方法无法彻底去除雨纹并且去雨后图像存在细节丢失问题,
提出一种多分辨率融合密集网络的图像去雨方法. 网络主体由多个多分辨并行融合模块构成 …

The difficulty of single image deraining using deep learning method lies in how to extract
feature information of rain streaks. To effectively extract discriminant information, we propose …

Due to the difficulty of obtaining paired data sets from the real world to train the network,
most of the current dehazing networks are trained by synthetic hazy data sets, which will …

Innenfor rammen av denne innsatsen er målet vårt å integrere alle aspekter ved kino
restaurering til et enhetlig konseptuelt rammeverk, innenfor hvilket vi vil utføre Spatio …