Sharpness improvement of license plates using a fusion method

In this paper, we propose an efficient algorithm for sharpness improvement of license plates based on image fusion, and the use of multiple images of the same vehicle in different positions of the road using information redundancy. This algorithm was used on the radar project led by MAScIR that enables to estimate the speed of vehicles, extract the license plates and improve their contrast through fusion. Unlike the flash radars, this system uses a video stream processing and can process more data. Different image processing techniques were used in this project, the canny edge detector and forms detection to localize and extract the plates, the morphological operations and filtering to help the process and all the geometrical transformations for an efficient fusion.