Survey on blind image forgery detection

被引：80

作者：

Qazi, Tanzeela ^{[1
]}

Hayat, Khizar ^{[1
]}

Khan, Samee U. ^{[2
]}

Madani, Sajjad A. ^{[1
]}

Khan, Imran A. ^{[1
]}

Kolodziej, Joanna ^{[3
]}

Li, Hongxiang ^{[4
]}

Lin, Weiyao ^{[5
]}

Yow, Kin Choong ^{[6
]}

Xu, Cheng-Zhong ^{[7
]}

机构：

[1] COMSATS Inst Informat Technol, Dept Comp Sci, Abbottabad, Pakistan

[2] N Dakota State Univ, Fargo, ND 58105 USA

[3] Cracow Univ Technol, Inst Comp Sci, Krakow, Poland

[4] Univ Louisville, Dept Elect & Comp Engn, Louisville, KY 40292 USA

[5] Shanghai Jiao Tong Univ, Dept Elect Engn, Shanghai 200030, Peoples R China

[6] Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen, Peoples R China

[7] Wayne State Univ, Dept Elect & Comp Engn, Detroit, MI 48202 USA

来源：

IET IMAGE PROCESSING | 2013年 / 7卷 / 07期

关键词：

message authentication; object detection; video signal processing; image forensics; blind image forgery detection; mushroom growth; digital image manipulations tools; digital video manipulations tools; multimedia content authenticity; digital image forensics; blind techniques; retouching forgery; splicing forgery; copy-move forgery; COPY-MOVE FORGERY; ALGORITHM; FORENSICS; SCHEME;

D O I：

10.1049/iet-ipr.2012.0388

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

With the mushroom growth of state-of-the-art digital image and video manipulations tools, establishing the authenticity of multimedia content has become a challenging issue. Digital image forensics is an increasingly growing research field that symbolises a never ending struggle against forgery and tampering. This survey attempts to cover the blind techniques that have been proposed for exposing forgeries. This work dwells on the detection techniques for three of the most common forgery types, namely copy/move, splicing and retouching.

引用

页码：660 / 670

页数：11

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