Toward an Improvement of UAV-Aerial Image Using Non-linear Image Enhancement

Lung-Jen Wang, W. Hsieh
{"title":"Toward an Improvement of UAV-Aerial Image Using Non-linear Image Enhancement","authors":"Lung-Jen Wang, W. Hsieh","doi":"10.1109/WAINA.2018.00156","DOIUrl":null,"url":null,"abstract":"Unmanned aerial vehicle (UAV)-vision applications are increasingly widespread in recent years, however, the UAV-aerial image causes a blurred condition because there is no power in the high-frequency component of aerial image. To improve the quality of such a blurred image, the image enhancement is an indispensable post-processing method. In this paper, the opportunity cost can be used to improve the non-linear image enhancement method for the UAV blurred image. In addition, a modified non-linear image enhancement scheme by cubic splines and opportunity cost will be proposed. The different non-linear image enhancement methods such as Gaussian-Pyramid and FSD-Pyramid are also compared with the proposed enhancement method.","PeriodicalId":296466,"journal":{"name":"2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WAINA.2018.00156","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Unmanned aerial vehicle (UAV)-vision applications are increasingly widespread in recent years, however, the UAV-aerial image causes a blurred condition because there is no power in the high-frequency component of aerial image. To improve the quality of such a blurred image, the image enhancement is an indispensable post-processing method. In this paper, the opportunity cost can be used to improve the non-linear image enhancement method for the UAV blurred image. In addition, a modified non-linear image enhancement scheme by cubic splines and opportunity cost will be proposed. The different non-linear image enhancement methods such as Gaussian-Pyramid and FSD-Pyramid are also compared with the proposed enhancement method.
利用非线性图像增强技术改进无人机航拍图像
近年来,无人机视觉的应用日益广泛,然而,由于无人机图像的高频成分没有功率,导致其图像模糊。为了提高这种模糊图像的质量,图像增强是一种不可缺少的后处理方法。本文利用机会成本对无人机模糊图像的非线性图像增强方法进行改进。此外,还提出了一种改进的三次样条和机会成本的非线性图像增强方案。对不同的非线性图像增强方法,如高斯金字塔和fsd -金字塔进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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