{"title":"图像去雾使用增强技术","authors":"N. Sangeetha, K. Anusudha","doi":"10.1109/ICCCSP.2017.7944087","DOIUrl":null,"url":null,"abstract":"Digital image processing techniques are commonly used to enhance an image to extract the useful information from it. Images acquired by a visual system are seriously degraded under hazy and foggy weather, which will affect the detection, tracking, and recognition of targets. The degraded images have reduced contrast and the local information is lost. Thus, restoring the true scene from such a foggy image is of significance. The paper focuses on enhancing the contrast and visibility of the foggy image by using various enhancement techniques. The performance of the proposed techniques are analyzed based on standard parameters.","PeriodicalId":269595,"journal":{"name":"2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Image defogging using enhancement techniques\",\"authors\":\"N. Sangeetha, K. Anusudha\",\"doi\":\"10.1109/ICCCSP.2017.7944087\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Digital image processing techniques are commonly used to enhance an image to extract the useful information from it. Images acquired by a visual system are seriously degraded under hazy and foggy weather, which will affect the detection, tracking, and recognition of targets. The degraded images have reduced contrast and the local information is lost. Thus, restoring the true scene from such a foggy image is of significance. The paper focuses on enhancing the contrast and visibility of the foggy image by using various enhancement techniques. The performance of the proposed techniques are analyzed based on standard parameters.\",\"PeriodicalId\":269595,\"journal\":{\"name\":\"2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCCSP.2017.7944087\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCSP.2017.7944087","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Digital image processing techniques are commonly used to enhance an image to extract the useful information from it. Images acquired by a visual system are seriously degraded under hazy and foggy weather, which will affect the detection, tracking, and recognition of targets. The degraded images have reduced contrast and the local information is lost. Thus, restoring the true scene from such a foggy image is of significance. The paper focuses on enhancing the contrast and visibility of the foggy image by using various enhancement techniques. The performance of the proposed techniques are analyzed based on standard parameters.