Abstract: Removal of rain in video and images is an important issue that interests both digital image
processing and computer vision areas, and it has been extensively used in many applications such as
video surveillance, automatic transmission, and military reconnaissance. The essential goal of rain
removal in video and images is how to detect raindrops or streaks and remove them, and restore the
details of the scenes. In order to make more researchers have a more comprehensive understanding in
rain removal techniques in video and images, a detailed introduction was reviewed. On the basis of
extensive literature research, the basic ideas, methods, characteristics and effect of various kinds of
rain removal techniques in videos and images are summarized and compared. According to the
implementation ways and disposal methods, rain removal techniques in videos and images are
classified into four types, they are imaging parametric-based method, time domain-based method,
frequency domain-based method, and sparse domain-based method. At the same time, the analysis of
recent years in time domain, frequency domain and sparse domain to the latest developments in the
rain is focused. With the improvement of computer hardware performance and the deep research of
raindrop characteristics, the method research and application conditions for rain removal in videos
630 前沿探索与综述 2017 年
and images have made great progress. However, due to the interference in rainy dynamic complexity
and/or the environment with complex background, rain removal techniques in videos and images are
still far from perfect, there are still many open problems that need to be solved.

Key words: video images, removal of rain, temporal domain, frequency domain, sparse domain