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.
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Acknowledgments
This work is mostly supported by Ministry of Science and Technology of China Project (NO: 2015DFR10670), Jilin Province Science and Technology Development Project (NO: 20140204045GX), Jilin Province Development and Reform Commission Project (NO: 2014Y109), and Changchun Science and Technology Project (NO: 2014215).
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Li, H.H., Liu, S., Piao, Y. (2016). Snow Removal of Video Image Based on FPGA. In: Huang, B., Yao, Y. (eds) Proceedings of the 5th International Conference on Electrical Engineering and Automatic Control. Lecture Notes in Electrical Engineering, vol 367. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48768-6_24
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DOI: https://doi.org/10.1007/978-3-662-48768-6_24
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