Snow removal of video image based on FPGA

Abstract

With the development of science and technology, outdoor surveillance systems are applied in many fields widely. However, due to the bad weather (such as snow, fog, rain, dust), it degrades the quality of video image and the function of surveillance system. The traditional methods of snow removal are largely realized with software and cannot meet the real-time processing requirements. They are difficult to get a wide range of applications. The cause of the noise generated by the snow is analyzed. According to the improved frame difference algorithm, we propose a snow removal technology of video image based on FPGA. Compared to the traditional methods, it can process the snow video image with minimum resolution 640 × 480 in real time. At last, the results show that the snow removal technology of video image based on FPGA can remove the snow effect efficiently. Furthermore, it can improve the contrast and enhance the image details.