NDLI: An integrated technique for splicing and copy-move forgery image detection

Content Provider	IEEE Xplore Digital Library
Author	Lin, S.D. Tszan Wu
Copyright Year	2011
Description	Author affiliation: Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan, R.O.C. (Lin, S.D.; Tszan Wu)
Abstract	Digital images can be easily forged with various image processing tools; nowadays the issue of digital image forgery becomes more and more important. As JPEG has been popularly used in image compression standard, forgery detection of JPEG images plays an important role now. Forging on compressed images often involves recompression and tends to erase those forging traces existed in un-compressed images. We could, however, attempt to discover new traces caused by recompression and use these traces to detect the recompressed image's forgery. The artifacts introduced by lossy JPEG compression can be regarded as an inherent feature for recompressed images. In this paper, a novel forgery image detection for splicing and copy-move forgery image is proposed. We first use a forgery image detection approach by periodicity analysis with the double compression effect in spatial and DCT domain. Then, the feature extracted by SURF descriptors is applied to resisting the variation of rotation and/or scaling. Experimental results demonstrate that the proposed technique is performed well on the detection of forgery localization. Especially for the copy-move forgery images, the proposed technique is able to locate the forged regions and recognize the non-original regions.
Starting Page	1086
Ending Page	1090
File Size	926028
Page Count	5
File Format	PDF
ISBN	9781424493043
e-ISBN	9781424493067
DOI	10.1109/CISP.2011.6100366
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Histograms Image coding passive forgery detection Splicing Digital images Transform coding double JPEG compression Forgery Discrete cosine transforms DCT coefficient digital image forensics
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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