At present,video surveillance technology has good application prospects in military reconnaissance,rail transit and other fields.However,in the actual monitoring scene,the display effect is often difficult to meet the actual needs due to the foggy sky,large bandwidth demand and complex monitoring scene.Therefore,surveillance video processing technology is still a hot research content at present.In view of the advantages of FPGA such as rich hardware logic resources and high-speed parallel processing,this paper carries out the design of highresolution real-time video monitoring system under foggy scenes.Through algorithm optimization and hardware circuit design,FPGA becomes an acceleration platform for video image processing algorithms.This paper builds a software and hardware platform based on FPGA,and makes full use of the advantages of FPGA parallel processing and pipeline processing,and specifically designs algorithms such as video defogging,video scaling,video compression,video decompression,etc.,to achieve real-time monitoring of high-resolution video in foggy scenes.The specific algorithm implementation includes three parts.(1)Implementation of video defogging algorithm.In order to solve the impact of foggy scenes on the video monitoring system,a de-fogging algorithm based on a dark channel prior is studied and implemented to further improve the display effect and stability of the video monitoring system.(2)Implementation of video scaling algorithm.In order to meet the trend of diversification of display devices,a scaling algorithm based on multi-phase interpolation is studied and implemented to further improve the display compatibility of video monitoring system.(3)Implementation of video compression and decompression algorithms.In order to solve the conflict between the huge amount of data in high-resolution video and the limited data transmission bandwidth,a video compression and decompression algorithm based on the DSCv1.2 standard is studied and implemented.The compression performance of the encoder end is 3:1,and the video of the decoder end can achieve visual lossless display effect.At the same time,the system has the function of long-distance transmission and can realize real-time remote monitoring.The experimental results show that the system can achieve × Real-time monitoring can be carried out at 2160 resolution,and the monitoring rate can reach 60 FPS.The system has certain anti-interference ability in the foggy scene.The processed video image can achieve visual lossless display effect.The average delay of the test is less than 50 ms,and the real-time performance of the system is good. |