A paper on video deraining and desnowing has been published in IEEE TIP.

Remove rain and snow from your videos.

Prof. Jae-Young Sim has co-authored “Video deraining and desnowing using temporal correlation and low-rank matrix completion”, published in the IEEE Transactions on Image Processing. When you capture videos outside under various weather conditions, such as rain and snow, image processing and computer vision systems often fail to work on these videos due to degraded quality. This paper proposed a video deraining and desnowing algorithm which removes rain or snow streaks from video sequences and enhances visual quality using temporal correlation and low-rank matrix completion.

For more information, please refer to the publication details:

Authors: Jin-Hwan Kim, Jae-Young Sim, and Chang-Su Kim

Title: Video deraining and desnowing using temporal correlation and low-rank matrix completion

Journal: IEEE Transactions on Image Processing (IF: 3.625, ranking: 14/249)

Publication date: Sep. 2015