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Reseach Article

Enhanced Passive copy � paste Tampering Detection Technique for Digital Images

Published on October 2014 by Ar. Guru Gokul, N. Kumaratharan, P. Suguna
International Conference on Information and Communication Technologies
Foundation of Computer Science USA
ICICT - Number 3
October 2014
Authors: Ar. Guru Gokul, N. Kumaratharan, P. Suguna
c5544d76-544a-4721-82fa-117ce60aad5c

Ar. Guru Gokul, N. Kumaratharan, P. Suguna . Enhanced Passive copy � paste Tampering Detection Technique for Digital Images. International Conference on Information and Communication Technologies. ICICT, 3 (October 2014), 29-32.

@article{
author = { Ar. Guru Gokul, N. Kumaratharan, P. Suguna },
title = { Enhanced Passive copy � paste Tampering Detection Technique for Digital Images },
journal = { International Conference on Information and Communication Technologies },
issue_date = { October 2014 },
volume = { ICICT },
number = { 3 },
month = { October },
year = { 2014 },
issn = 0975-8887,
pages = { 29-32 },
numpages = 4,
url = { /proceedings/icict/number3/17979-1429/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Information and Communication Technologies
%A Ar. Guru Gokul
%A N. Kumaratharan
%A P. Suguna
%T Enhanced Passive copy � paste Tampering Detection Technique for Digital Images
%J International Conference on Information and Communication Technologies
%@ 0975-8887
%V ICICT
%N 3
%P 29-32
%D 2014
%I International Journal of Computer Applications
Abstract

Digital images are powerful and widely used communication medium in many fields like medical imaging, digital forensics, surveillance, journalism, etc. The availability of sophisticated digital image technology has given rise to image forgery. The forgeries are very difficult for a human eye to detect. Passive tampering detection method aims to detect the tampering areas in the digital images without any prior knowledge of the original images. The available tampering detection technique uses 8 x 8 blocks to detect the tampered region. However, all the pixels involved in the block are not compared, which again leads to a forgery. To mitigate these effects, a new progressive passive copy-paste tampering detection technique is proposed. Experimental result shows that the proposed technique overcomes the foresaid technique which enhances the tampering detection method.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Image Forgery Copy-paste Forgery Jpeg Quality Factor