夜间图像增强应用暗通道之前,从相机的原始数据

Y. Gong, Yeejin Lee, Truong Q. Nguyen
{"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}
引用次数: 2

摘要

本文提出了一种替代方法来提高夜间捕获图像的可见度。为了提高夜间图像的视觉质量,我们在最能代表图像形成模型的线性传感器空间中进行图像增强。分析表明,该方法有助于减小误差放大和计算复杂度。此外,实验结果验证了该方法提高了真实数据集的可见性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信