文献类型：期刊文献

英文题名：Regional Atmospheric Light Optimisation Algorithm for Heterogeneous Image Dehazing

作者：Wu, Haoqiang[1,2];Fu, Yiran[1,2];Zha, Quanxing[1,2];Chen, Aidong[1,2,3];Jing, Hongyuan[1,2,3]

第一作者：Wu, Haoqiang

通讯作者：Jing, HY[1];Jing, HY[2];Jing, HY[3]

机构：[1]Beijing Union Univ, Multiagent Syst Res Ctr, Beijing 100101, Peoples R China;[2]Beijing Union Univ, Coll Robot, 4 Gongti North Rd, Beijing 10002, Peoples R China;[3]Beijing Union Univ, Beijing Key Lab Informat Serv Engn, Beijing 100101, Peoples R China

第一机构：北京联合大学

通讯机构：[1]corresponding author), Beijing Union Univ, Multiagent Syst Res Ctr, Beijing 100101, Peoples R China;[2]corresponding author), Beijing Union Univ, Coll Robot, 4 Gongti North Rd, Beijing 10002, Peoples R China;[3]corresponding author), Beijing Union Univ, Beijing Key Lab Informat Serv Engn, Beijing 100101, Peoples R China.|[11417103]北京联合大学北京市信息服务工程重点实验室;[11417]北京联合大学;[1141739]北京联合大学机器人学院;

年份：2021

卷号：2021

外文期刊名：SCIENTIFIC PROGRAMMING

收录：;EI(收录号：20214911278169);Scopus(收录号：2-s2.0-85120474270);WOS:【SCI-EXPANDED(收录号:WOS:000726039900004)】；

基金：This work was mainly supported by the Beijing Municipal Education Commission Research Foundation under Grant KM202111417008, the Academic Research Projects of Beijing Union University under Nos. ZK90202104 and ZB10202004, and the Beijing Municipal Natural Science Foundation under Grant L191006 and partly supported by Beijing Union University Students Science and Technology Innovation Project (no. 20213065).

语种：英文

外文关键词：Image enhancement - Luminance - Optimization

摘要：Under foggy and other severe weather conditions, image acquisition equipment is not effective. It often produces an image with low contrast and low scene brightness, which is difficult to use in other image-based applications. The dark channel prior dehazing algorithm will cause the brightness of the image to decrease and sometimes introduce halos in the sky area. To solve this problem, we proposed a region similarity optimisation algorithm based on a dark channel prior. First, a vector comprising RGB layer dark channel value was obtained as the original atmospheric ambient light, and then, the proposed regional similarity linear function was used to adjust the atmospheric ambient light matrix. Next, the transmittance of different colour channels was derived and the multichannel soft matting algorithm was employed to produce more effective transmittance. Finally, the atmospheric ambient light and transmittance were substituted into the atmospheric scattering model to calculate clean images. Experimental results show that the proposed algorithm outperformed the existing mainstream dehazing algorithms in terms of both visual judgement and quality analysis with nonhomogeneous haze datasets. The algorithm not only improves the image details but also improves the brightness and saturation of the dehazing result; therefore, the proposed algorithm is effective in the restoration of the hazy image.