The rain removal task is to restore a clean image from the contaminated image by
separating the background. Since the rise of deep learning in 2016, the task of image …

Deraining has been attracting a lot of attention from researchers, and various methods have
been proposed, especially deep‐networks are widely adopted in recent years. Their …

Image deraining is a highly ill-posed problem. Although significant progress has been made
due to the use of deep convolutional neural networks, this problem still remains challenging …

This paper aims at developing an effective approach to remove rain layer from an individual
image. The proposed is a two-stage method named JF-MADN consisting of a Joint Filter (JF) …

Abstract Methods for Optical Flow (OF) estimation based on Deep Learning have
considerably improved traditional approaches in challenging and realistic conditions …

Existing methods in removing raindrops from images have encountered a key challenge, ie,
removing raindrops of different sizes and shapes while recovering the lost details. These …

Abstract The Optical Flow (OF) estimation is an important but challenging task used in
various computer vision applications. Recently, the introduction of Deep Learning models …

Rain streaks can affect visual visibility, and hence disable many visual algorithms. So we
present a double recurrent dense network for removing rain streaks from single image …