Design of Image Defogging System Based on Zynq New AOD-Net Algorithm
DONG Tian
JIANG Dongrui
ZHANG Huixin
Abstract：In view of the problems of detail loss,color dimming and brightness reduction in video surveillance images in haze weather,the existing image de-fogging algorithms are often difficult to meet the requirements of de-fogging effect and realtime pro-cessing in video surveillance scenes.In order to restore the fog-free image with higher quality,the Squeeze and Excitation mecha-nism is introduced into the traditional AOD-Net algorithm,and the channel weights are allocated in an adaptive way.At the same time,the pyramid pool module is introduced to expand the network sensitivity field.Finally,the composite loss function is adopted to equalize the image edge features and texture details.At the same time,the system uses Zynq as the implementation platform and Vivado HLS to develop the IP core of the new AOD-Net algorithm whose interface is AXI4-Stream.The PL end is used as the imple-mentation unit of the algorithm,and the PS end is used as the control core,giving full play to the advantages of the heterogeneous SoC architecture.The experimental results show that the new AOD-Net algorithm based on Zynq platform has significant image de-fogging effect.The SNR extreme value is optimized by 2.45 dB,and the structural matching degree is increased to 91.2%,which reduces the influence of haze weather on video surveillance images.
Keywords：new AOD-Net algorithmimage defoggingZynqVivado HLSpyramidization
Publication Date：2024-10-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 26-30 )