{"title":"雾霾非均匀性对近期图像去雾方法的影响","authors":"A. Kis, H. Balta, C. Ancuti","doi":"10.1109/ELMAR52657.2021.9550935","DOIUrl":null,"url":null,"abstract":"Haze is a common atmospheric phenomenon that affects the visual quality of the recorded images. Since in general the existing dehazing techniques assume a homogeneous haze distribution, this work analysis the impact of haze non-homogeneity on several recent image dehazing techniques. We perform a comprehensive evaluation using our recent image dataset introduced this year at CVPR NTIRE 2021 workshop. HH-HAZE21 dataset contains 35 non-homogeneous hazy images and their corresponding haze-free images captured from the same scene. The hazy images have been generated using a special setup that includes a professional haze generator. The qualitative and quantitative comparative results demonstrate that images with non-homogeneous haze introduce new challenges for the existing image dehazing techniques.","PeriodicalId":410503,"journal":{"name":"2021 International Symposium ELMAR","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Impact of Haze Non-Homogeneity on the Recent Image Dehazing Methods\",\"authors\":\"A. Kis, H. Balta, C. Ancuti\",\"doi\":\"10.1109/ELMAR52657.2021.9550935\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Haze is a common atmospheric phenomenon that affects the visual quality of the recorded images. Since in general the existing dehazing techniques assume a homogeneous haze distribution, this work analysis the impact of haze non-homogeneity on several recent image dehazing techniques. We perform a comprehensive evaluation using our recent image dataset introduced this year at CVPR NTIRE 2021 workshop. HH-HAZE21 dataset contains 35 non-homogeneous hazy images and their corresponding haze-free images captured from the same scene. The hazy images have been generated using a special setup that includes a professional haze generator. The qualitative and quantitative comparative results demonstrate that images with non-homogeneous haze introduce new challenges for the existing image dehazing techniques.\",\"PeriodicalId\":410503,\"journal\":{\"name\":\"2021 International Symposium ELMAR\",\"volume\":\"59 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Symposium ELMAR\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ELMAR52657.2021.9550935\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Symposium ELMAR","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELMAR52657.2021.9550935","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Impact of Haze Non-Homogeneity on the Recent Image Dehazing Methods
Haze is a common atmospheric phenomenon that affects the visual quality of the recorded images. Since in general the existing dehazing techniques assume a homogeneous haze distribution, this work analysis the impact of haze non-homogeneity on several recent image dehazing techniques. We perform a comprehensive evaluation using our recent image dataset introduced this year at CVPR NTIRE 2021 workshop. HH-HAZE21 dataset contains 35 non-homogeneous hazy images and their corresponding haze-free images captured from the same scene. The hazy images have been generated using a special setup that includes a professional haze generator. The qualitative and quantitative comparative results demonstrate that images with non-homogeneous haze introduce new challenges for the existing image dehazing techniques.