盲画伪造检测

T. T. Dang, Azeddine Beghdadi, M. Larabi
{"title":"盲画伪造检测","authors":"T. T. Dang, Azeddine Beghdadi, M. Larabi","doi":"10.1109/GlobalSIP.2014.7032275","DOIUrl":null,"url":null,"abstract":"The increasingly use of digital images in our daily life and the availability of powerful software for processing and editing images, open new challenges regarding illegal or unauthorized image manipulation. Thus, it becomes essential to authenticate digital copies, validate their content, and detect possible forgeries. In this paper, we focus on detection of a specific type of digital forgery, inpainting, where an object is removed using pixels coming from the same image. The problem of inpainting detection is investigated and an efficient and reliable detection method is proposed. The performance of the proposed method is demonstrated on several inpainted images using different inpainting techniques.","PeriodicalId":362306,"journal":{"name":"2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Blind inpainting forgery detection\",\"authors\":\"T. T. Dang, Azeddine Beghdadi, M. Larabi\",\"doi\":\"10.1109/GlobalSIP.2014.7032275\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The increasingly use of digital images in our daily life and the availability of powerful software for processing and editing images, open new challenges regarding illegal or unauthorized image manipulation. Thus, it becomes essential to authenticate digital copies, validate their content, and detect possible forgeries. In this paper, we focus on detection of a specific type of digital forgery, inpainting, where an object is removed using pixels coming from the same image. The problem of inpainting detection is investigated and an efficient and reliable detection method is proposed. The performance of the proposed method is demonstrated on several inpainted images using different inpainting techniques.\",\"PeriodicalId\":362306,\"journal\":{\"name\":\"2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP)\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GlobalSIP.2014.7032275\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GlobalSIP.2014.7032275","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14

摘要

在我们的日常生活中越来越多地使用数字图像,以及强大的软件处理和编辑图像的可用性,对非法或未经授权的图像操纵提出了新的挑战。因此,必须对数字副本进行身份验证,验证其内容,并检测可能的伪造。在本文中,我们专注于检测一种特定类型的数字伪造,即使用来自同一图像的像素来删除对象。研究了涂层检测问题,提出了一种高效可靠的涂层检测方法。采用不同的补图技术对多幅补图进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Blind inpainting forgery detection
The increasingly use of digital images in our daily life and the availability of powerful software for processing and editing images, open new challenges regarding illegal or unauthorized image manipulation. Thus, it becomes essential to authenticate digital copies, validate their content, and detect possible forgeries. In this paper, we focus on detection of a specific type of digital forgery, inpainting, where an object is removed using pixels coming from the same image. The problem of inpainting detection is investigated and an efficient and reliable detection method is proposed. The performance of the proposed method is demonstrated on several inpainted images using different inpainting techniques.
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