通信学报2017，Vol.38Issue(5)：48-56,9.DOI:10.11959/j.issn.1000-436x.2017099
基于光补偿和逐像素透射率的图像复原算法
Single image visibility restoration using optical compensation and pixel-by-pixel transmission estimation
摘要
Abstract
Aiming at image degradation in hazy and sandstorm weather,an optical compensation color restoration and pixel-by-pixel transmissvity estimation algorithm was proposed.The blue light was absorbed by sandstorm particles.The color shift phenomenon could be eliminated by optical compensate method,which convert the sandstorm images into hazy images.Then the ratio relationship between the minimum channel and its Gaussian function as the transmissivity,and median filter was used to eliminate its texture effects.The depth of the restored transmissivity alternated obviously and the edge was well preserved,which did not need the time-consuming postprocessing operativity.Finally,the image was restored by the atmospheric scattering model.The experimental results show that recovered sandstorm image treatment is better,and the saturation of the haze image is appropriate,the bright area is more nature,and running time is faster.关键词
光补偿色彩复原/透射率/大气散射模型/去雾Key words
optical compensate color restoration/transmissivity/atmospheric scattering model/dehaze分类
信息技术与安全科学引用本文复制引用
杨燕,陈高科..基于光补偿和逐像素透射率的图像复原算法[J].通信学报,2017,38(5):48-56,9.基金项目
国家自然科学基金资助项目(No.61561030) （No.61561030）
甘肃省财政厅基本科研业务费基金资助项目(No.214138) （No.214138）
兰州交通大学教改基金资助项目(No.160012).The National Natural Science Foundation of China (No.61561030),Fundamental Research Funds for the Gansu Provincial Finance Department (No.214138),Research Fund of Teaching Reform Project of Lanzhou Jiaotong University (No.160012) （No.160012）
