A robust forgery detection algorithm for object removal by exemplar-based image inpainting-Reference-Cited by-同舟云学术

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A robust forgery detection algorithm for object removal by exemplar-based image inpainting

Published:2017-05-22 Issue:10 Volume:77 Page:11823-11842
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Zhang Dengyong,Liang Zaoshan,Yang Gaobo,Li Qingguo,Li Leida,Sun Xingming

Funder

National Natural Science Foundation of China

Specialized Research Fund for the Doctoral Program of Higher Education

Scientific Research Fund of Hunan Provincial Education Department

Priority Academic Program Development of Jiangsu Higer Education Institutions

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/article/10.1007/s11042-017-4829-0/fulltext.html

Reference25 articles.

1. Amerini I, Ballan L, Caldelli R et al (2013) Copy-move forgery detection and localization by means of robust clustering with J-linkage. Signal Process Image Commun 28(6):659–669

2. Bacchuwar KS, Ramakrishnan K R (2013) A jump patch-block match algorithm for multiple forgery detection. In: Proc. of IEEE international multi-conference on automation, computing, communication, control and compressed sensing (iMac4s), pp 723–728

3. Birajdar G K, Mankar V H (2013) Digital image forgery detection using passive techniques: A survey. Digit Investig 10(3):226–245

4. Chang I, Yu J, Chang C C (2013) A forgery detection algorithm for exemplar-based inpainting images using multi-region relation. Image Vis Comput 31 (1):57–71

5. Cozzolino D, Gragnaniello D, Verdoliva L (2014) Image forgery detection through residual-based local descriptors and block-matching. In: IEEE International conference on image processing (ICIP), pp 5297–5301

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