文章基本信息

标题：Removing Rain Streaks From Single Images Using Total Variation
本地全文：下载
作者：Samer Mahmoud Shorman ; Sakinah Ali Pitchay
期刊名称：The International Journal of Multimedia & Its Applications (IJMA)
印刷版ISSN：0975-5934
电子版ISSN：0975-5578
出版年度：2018
卷号：10
期号：4/5
页码：1-9
DOI：10.5121/ijma.2018.10616
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Rainy image restoration is considered as one of the most important image restorations aspects to improve the outdoor vision. Many fields have used this kind of restorations such as driving assistant, environment monitoring, animals monitoring, computer vision, face recognition, object recognition and personal photos. Image restoration simply means how to remove the noise from the images. Most of the images have some noises from the environment. Moreover, image quality assessment plays an important role in the valuation of image enhancement algorithms. In this research, we will use a total variation to remove rain streaks from a single image. It shows a good performance compared to other methods, using some measurements MSE, PSNR, and VIF for an image with references and BRISQUE for an image without references.
关键词：Rainy image; image restoration; removing rain streaks; single image