Super-Resolution In IR Surveillance Videos

The Telecommunication branch of the IDF adverted the SIPL laboratory with a mission to improve the quality of their video feed originated from security cameras purposed to locate suspicious activities. SIPL was asked to find a solution enabling to detect hidden information or improve existing one in the video and provide new information about the security footage for the user. The solution proposed is the use of SR (super resolution) algorithms. Super resolution algorithms utilize various sources of information such as the characteristics of the camera, information existing in other frames, previous knowledge of the acquired scene, external database, which are exploited for enhancing the video’s resolution. At the beginning of the project, we had to characterize the requirements for the implementation of our SR algorithm on the given data. We had to take into account that we do not have prior information on the camera or the scene. The algorithm needs to be efficient in terms of processing time and memory usage as there is need for immediate transfer of information received by the security cameras (sensitive information that may contain threats).

Super-Resolution In IR Surveillance Videos

 

Super-Resolution In IR Surveillance Videos
Super-Resolution In IR Surveillance Videos
Collaboration:

IDF  (Tikshuv)