This paper proposed a rain removal algorithm based on optical flow and hybrid properties constraint. To identify the candidate rain pixels, the optical flow is ...

A rain removal algorithm based on optical flow and hybrid properties constraint and the hybrid properties constraint of raindrops is proposed, ...

In the present work, the work has been done under this environment to develop some novel hybrid aggregation operators based on arithmetic and geometric ...

Detection and removal of rain for videos is a challenging problem because of the difficulty to build an appropriate imaging model for rainy weather.

The proposed algorithm calculates the rainy intensity for each pixel so that the rain removal videos processed by the proposed algorithm has much better ...

Optical flow in heavy rainy scenes is challenging due to the presence of both rain steaks and rain veiling effect, which break the existing optical flow ...

We introduce a self-learning method to remove both rain streaks and rain accumulation without using any ground-truth clean images in training our model.

With this in mind, we construct a two-stage. Self-Learned Deraining Network (SLDNet) to remove rain streaks based on both temporal correlation and consistency.

Abstract—Unlike existing video-deraining methods, this paper presents a self-learning method to remove both rain streaks and rain.

Based on the unique properties of rain, model-based methods have been proposed to approach the video deraining task by utilizing more intrinsic priors to ...