{"title":"夜间图像增强应用暗通道之前,从相机的原始数据","authors":"Y. Gong, Yeejin Lee, Truong Q. Nguyen","doi":"10.1109/ISOCC.2016.7799836","DOIUrl":null,"url":null,"abstract":"This paper presents an alternative approach to enhance visibility of images captured at night. In order to improve visual quality of nighttime image, we perform image enhancement in linear sensor space, which best represents image formation models. The analyses show that the proposed approach is helpful to reduce error amplification and computational complexity. In addition, experimental results verify that the proposed method enhances visibility for real-world dataset.","PeriodicalId":278207,"journal":{"name":"2016 International SoC Design Conference (ISOCC)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Nighttime image enhancement applying dark channel prior to raw data from camera\",\"authors\":\"Y. Gong, Yeejin Lee, Truong Q. Nguyen\",\"doi\":\"10.1109/ISOCC.2016.7799836\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an alternative approach to enhance visibility of images captured at night. In order to improve visual quality of nighttime image, we perform image enhancement in linear sensor space, which best represents image formation models. The analyses show that the proposed approach is helpful to reduce error amplification and computational complexity. In addition, experimental results verify that the proposed method enhances visibility for real-world dataset.\",\"PeriodicalId\":278207,\"journal\":{\"name\":\"2016 International SoC Design Conference (ISOCC)\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International SoC Design Conference (ISOCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISOCC.2016.7799836\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International SoC Design Conference (ISOCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISOCC.2016.7799836","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Nighttime image enhancement applying dark channel prior to raw data from camera
This paper presents an alternative approach to enhance visibility of images captured at night. In order to improve visual quality of nighttime image, we perform image enhancement in linear sensor space, which best represents image formation models. The analyses show that the proposed approach is helpful to reduce error amplification and computational complexity. In addition, experimental results verify that the proposed method enhances visibility for real-world dataset.