现代电子技术2024，Vol.47Issue(23)：8-14,7.DOI:10.16652/j.issn.1004-373x.2024.23.002
基于天空区域分割的快速去雾算法研究
Research on fast dehazing algorithm based on sky region segmentation
摘要
Abstract
In view of the color distortion and slow processing speed in the region of sky when the traditional dark channel prior(DCP)dehazing algorithm is used to process outdoor foggy images,a fast dehazing algorithm which can identify the region of sky adaptively is proposed.In terms of sky region segmentation,the luminance components with prominent details in the image are chosen as the subject of study.In combination with the OTSU algorithm and the dynamic parameters,an algorithm model is established to identify the region of sky adaptively,and the optimal segmentation threshold value is obtained.The regions of sky and non-sky in the foggy images are segmented,and the atmospheric light value is computed according to the region of sky.In terms of increasing the processing speed,the image downsampling algorithm is introduced in the process of optimizing the trans-mittance by guided filtering,which reduces the time consumption of the algorithm while ensuring image quality after restoration.In comparison with various classical algorithms,the proposed algorithm offers more natural visual details.Its SSIM(structure similarity index measure),PSNR(peak signal-to-noise ratio)and MSE(mean squared error)surpass those of the other algorithms,and its processing speed is faster.Both subjective and objective evaluation results show that the proposed algorithm is superior to the other algorithms in visual effect and time efficiency.To sum up,it has a certain practical value.关键词
图像去雾/暗通道/天空分割/大气光值/引导滤波/透射率优化Key words
image dehazing/dark channel/sky segmentation/atmospheric light value/guided filtering/transmission rate op-timization分类
信息技术与安全科学引用本文复制引用
李秦君,肖德超,韩刘彧,张国钰,杨萍..基于天空区域分割的快速去雾算法研究[J].现代电子技术,2024,47(23):8-14,7.基金项目
国家自然科学基金面上项目(61871260) （61871260）
咸阳市重点研发计划项目(2020K02-64) （2020K02-64）
陕西科技大学教学改革研究项目(21Y036) （21Y036）
