Detecting Copy-Move Forgery in Digital Images: A Survey and Analysis of Current Methods

Dr. B.L.Shivakumar; Dr. S.Santhosh Baboo

Detecting Copy-Move Forgery in Digital Images: A Survey and Analysis of Current Methods

Dr. B.L.Shivakumar * §

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Dr. S.Santhosh Baboo

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§ SNR Sons College, Bharathiar University

Detecting Copy-Move Forgery in Digital Images: A Survey and Analysis of Current Methods

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Abstract

As one of the most successful applications of image analysis and understanding, digital image forgery detection has recently received significant attention, especially during the past few years. At least two trend account for this: the first accepting digital image as official document has become a common practice, and the second the availability of low cost technology in which the image could be easily manipulated. Even though there are many systems to detect the digital image forgery, their success is limited by the conditions imposed by many applications. For example, detecting duplicated region that have been rotated in different angles remains largely unsolved problem. In an attempt to assist these efforts, this paper surveys the recent development in the field of Copy-Move digital image forgery detection.

References

18 Cites in Article

Reference Format

Weiqi Luo,Zhenhua Qu,Feng Pan,Jiwu Huang (2007). A survey of passive technology for digital image forensics.
M Nizza,P Lyons (2008). In an iranian image, a missile too many.
D Fridrich,J Soukal,Lukás (2003). Detection of copy move forgery in digital images.
A Popescu,H Farid Exposing Digital Forgeries by Detecting Duplicated Image Regions.
G Li,Q Wu,D Tu,S Sun (2007). A Sorted Neighborhood Approach for Detecting Duplicated Regions in Image Forgeries based on DWT and SVD.
W Luo,J Huang,G Qiu (2006). Robust Detection of Region Duplication Forgery in Digital Image.
A Myna,M Venkateshmurthy,C Patil (2007). Detection of Region Duplication Forgery in Digital Images Using Wavelets and Log-Polar Mapping.
Hailing Huang,Weiqiang Guo,Yu Zhang (2008). Detection of Copy-Move Forgery in Digital Images Using SIFT Algorithm.
Jing Zhang,Zhanlei Feng,Yuting Su (2008). A New Approach for Detecting Copy-Move Forgery in Digital Images.
Hwei-Jen Lin,Chun-Wei Wang,Yang-Ta Kao (2009). Fast Copy-Move Forgery Detection.
Xunyu Pan,Siwei Lyu (2010). Detecting image region duplication using SIFT features.
Seung-Jin Ryu,Min-Jeong Lee,Heung-Kyu Lee (2010). Detection of Copy-Rotate-Move Forgery Using Zernike Moments.
H Kim,H Lee (2003). Invariant image watermark using Zernike moments.
A Khotanzad,Y Hong (1990). Invariant image recognition by Zernike moments.
C-H Teh,R Chin (1988). On image analysis by the methods of moments.
Sevinc Bayram,Taha Sencar,Nasir Memon (2009). An efficient and robust method for detecting copy-move forgery.
S Ye,Q Sun,E Chang (2007). Detecting digital image forgeries by measuring inconsistencies of blocking artifact.
Sebastiano Battiato,Giuseppe Messina (2009). Digital forgery estimation into DCT domain.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. B.L.Shivakumar, Dr. S.Santhosh Baboo. 1970. "Detecting Copy-Move Forgery in Digital Images: A Survey and Analysis of Current Methods". Global Journal of Computer Science and Technology GJCST Volume 10 (GJCST Volume 10 Issue 7).

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GJCST Volume 10 Issue 7

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Submission ReceivedFebruary 8, 2010
Peer Review Double Blind
Handling Editor
Accepted March 4, 2010
Published March 15, 2010

Version of record

v1.2

Issue date

September 10, 2010

Language

English

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Article Matrices

Total Score: 152

Country: Unknown

Subject: Global Journal of Computer Science and Technology

Authors: Dr. B.L.Shivakumar, Lt. Dr. S.Santhosh Baboo (PhD/Dr. count: 2)

View Count (all-time): 155

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Publish Date: 2010 03, Mon

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Total Views: 4.4K

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