  Image super-resolution is an important research area in computer vision that
has a wide variety of applications including surveillance, medical imaging etc.
Real-world signal image super-resolution has become very popular now-a-days due
to its real-time application. There are still a lot of scopes to improve
real-world single image super-resolution specially during challenging weather
scenarios. In this paper, we have proposed a new algorithm to perform
real-world single image super-resolution during rainy condition. Our proposed
method can mitigate the influence of rainy conditions during image
super-resolution. Our experiment results show that our proposed algorithm can
perform image super-resolution decreasing the negative effects of the rain.
