Based On The Design Of Zynq Real-time Video Image Defogging System

In the case of hazy weather,the image video presented by the imaging equipment is dimmed and the contrast information is greatly reduced,which directly affects the extraction of the internal features of the image,resulting in the application of tracking,monitoring,navigation and other visual applications based on the extracted image features system does not work.With the advent of the age of intelligent and big data,small HD real-time video processing system is in demand.Therefore,it's important to study video dehazing system with HD resolution and real-time feature.In this paper,the image dehazing algorithm based on the priori theory of dark color was studied in depth by analyzing the atmosphere scattering model.Aiming at the shortcomings of the original algorithm,such as poor real-time performance on low-end hardware platforms,halos in bright areas after dehazing,and block effects at the edge,feasible improvement methods are proposed.The improved kuwahara filter and the normalized method are used instead of the guided filtering with high computational complexity in the original algorithm to estimate the accurate atmospheric transmittance.The improved single frame defogging algorithm not only reduces the complexity of the algorithm but also has a better dehazing effect.In order to solve the problem of high-definition video data,large computation complexity,and flicker and jitter caused by time continuity based on the single-frame dehazing algorithm,the process of evaluating the ambient light value and atmospheric transmittance is optimized,and finally a reasonable high-definition video dehazing scheme was proposed.Experimental results show that the video after dehazing using the scheme has high contrast and observation.On the Zynq-7020 hardware platform,the FPGAs that are known for parallel operations and the ARM cores that are known for control are used reasonably,and high-definition video dehazing algorithms are efficiently implemented.The PL side implements the logical design of the bilinear interpolation scaling module,the dark channel prior calculation,the transmittance map calculation,and the dehazing image generation module,while the PS side mainly completes the auxiliary algorithm,and the system control and the initialization of each module.Other functions.This paper uses functional simulation verification and system real-time verification to analyze the design of the hardware algorithm logic and system performance.The RTL simulation was used to verify the logic of the algorithm module.After the matlab image with a resolution of 1280x720 prepared by matlab was processed by the hardware module of the dehazing algorithm,the logic design of the hardware algorithm was verified.Performing real-time dehazing on outdoor scenes.The experimental results show that the designed HD dehazing system can achieve effective video dehazing;use the interrupt mechanism to add timers to evaluate the real-time performance of the video stream in the PS-side assist algorithm.The video processing time for the 25 frames resolution of 1280*720 is 1.7s,which verifies that the system has good real-time performance.