Exposing splicing forgery based on color temperature estimation | |
Sun, Peng1,2,3; Lang, Yubo1; Fan, Shu1; Shen, Zhe3; Liu, Lei1; Shan, Daguo1; Peng, Silong3![]() | |
发表期刊 | FORENSIC SCIENCE INTERNATIONAL
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ISSN | 0379-0738 |
2018-08-01 | |
卷号 | 289页码:1-11 |
通讯作者 | Sun, Peng(6094079@qq.com) |
摘要 | Splicing is one of the most common tampering techniques for image manipulation in many forensic cases. Normally color shift in images due to color temperature of illumination can be seen as intrinsic features relative to imaging process. In splicing forgeries, copied area and pasted target image come from different imaging process, and are likely to have different color shift. In this paper, a novel automated authentication method is presented to expose splicing manipulation and locate manipulated areas by discriminating the inconsistencies of color shift in an image. In order to minimize human interaction on detection of splicing forgeries as well as localization of manipulated areas, a forensic image is divided into blocks with grid-based strategy. After calculation on color temperature of each blocks with white-point algorithm, reference color temperature is obtained with a random restricted algorithm. Then color temperature distance between each block and reference area is calculated sequentially. At last, by comparing color temperature distance with an optimized threshold determined by OSTU algorithm. This method enables us to judge if splicing has occurred and furthermore localize manipulated area simultaneously. Experiments show that the proposed method can speed up the quantitative detection of possible splicing manipulation and localize manipulated area automatically. (c) 2018 Elsevier B.V. All rights reserved. |
关键词 | Image authentication Manipulation localization Color shift Color temperature estimation |
DOI | 10.1016/j.forsciint.2018.04.049 |
关键词[WOS] | COPY-MOVE FORGERY ; DIGITAL FORGERIES ; CAMERA SYSTEM ; IMAGES ; LOCALIZATION ; ART |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Natural Science Foundation of China[61307016] ; National Engineering Laboratory of Evidence Traceability Technology[2017NELKFKT09] ; National Natural Science Foundation of China[61307016] ; National Engineering Laboratory of Evidence Traceability Technology[2017NELKFKT09] |
项目资助者 | National Natural Science Foundation of China ; National Engineering Laboratory of Evidence Traceability Technology |
WOS研究方向 | Legal Medicine |
WOS类目 | Medicine, Legal |
WOS记录号 | WOS:000438589000008 |
出版者 | ELSEVIER IRELAND LTD |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/26311 |
专题 | 智能制造技术与系统研究中心_多维数据分析(彭思龙)-技术团队 |
通讯作者 | Sun, Peng |
作者单位 | 1.Criminal Invest Police Univ China, Dept Criminal Sci & Tech, Shenyang, Liaoning, Peoples R China 2.Natl Engn Lab Evidence Traceabil Technol, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Sun, Peng,Lang, Yubo,Fan, Shu,et al. Exposing splicing forgery based on color temperature estimation[J]. FORENSIC SCIENCE INTERNATIONAL,2018,289:1-11. |
APA | Sun, Peng.,Lang, Yubo.,Fan, Shu.,Shen, Zhe.,Liu, Lei.,...&Peng, Silong.(2018).Exposing splicing forgery based on color temperature estimation.FORENSIC SCIENCE INTERNATIONAL,289,1-11. |
MLA | Sun, Peng,et al."Exposing splicing forgery based on color temperature estimation".FORENSIC SCIENCE INTERNATIONAL 289(2018):1-11. |
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