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A Fast and Robust Approach to Detect Copy-Move Forgery in Digital Images

by Manish Deoli, Jyoti Joshi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 137 - Number 5
Year of Publication: 2016
Authors: Manish Deoli, Jyoti Joshi
10.5120/ijca2016908749

Manish Deoli, Jyoti Joshi . A Fast and Robust Approach to Detect Copy-Move Forgery in Digital Images. International Journal of Computer Applications. 137, 5 ( March 2016), 29-33. DOI=10.5120/ijca2016908749

@article{ 10.5120/ijca2016908749,
author = { Manish Deoli, Jyoti Joshi },
title = { A Fast and Robust Approach to Detect Copy-Move Forgery in Digital Images },
journal = { International Journal of Computer Applications },
issue_date = { March 2016 },
volume = { 137 },
number = { 5 },
month = { March },
year = { 2016 },
issn = { 0975-8887 },
pages = { 29-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume137/number5/24274-2016908749/ },
doi = { 10.5120/ijca2016908749 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:37:36.037149+05:30
%A Manish Deoli
%A Jyoti Joshi
%T A Fast and Robust Approach to Detect Copy-Move Forgery in Digital Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 137
%N 5
%P 29-33
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In the present world, digital images and videos are our main source of information and these can be easily manipulated to conceal some meaningful information by using largely available powerful and sophisticated image editing tools. So in this era of illusions, verifying the authenticity of images and locating the tampering regions without using any prior knowledge is an important area of research. Copy-move forgery is one of the mostly used forgery technique. Many block matching algorithms are suggested to deal with this type of forgery but still there are some issues which are not properly addressed and need more attention such as time complexity. With increasing image size the execution time of detection algorithm is also increases. In this paper, we propose a method based on Discrete Cosine Transform (DCT) in order to improve time complexity. The proposed technique can also detect forgery even after some post processing operations such as rotation and Gaussian noise addition.

References
  1. Fridrich, J., Soukal, D., and Lukas, J. 2003 Detection of copy-move forgery in digital images In: Proc. of digital forensic research workshop.
  2. Popescu, A.C., and Farid, H. 2004 Exposing digital forgeries by detecting duplicated image regions. Technical Report TR2004-515, Department of Computer Science, Dartmouth College.
  3. Huang, Y., Lu, W., Sun, W., and Long, D. 2011 Improved DCT-based detection of copy-move forgery. In images forensic science international, vol. 206.
  4. Birajdar, G.K.., and Mankar, V.H. 2013 Digital image forgery detection using passive techniques: A survey. In Digital investigation, vol. 10, no. 3.
  5. Mahdian, B., and Saic, S. 2007 Detection of copy-move forgery using a method based on blur moment inverients. In forensic science international, vol. 171, no. 2.
  6. Cao, Y., Gao, T., Fan, L., and Yang, Q. 2012 A robust detection algorithm for copy-move forgery in digital images. In forensic science international, vol. 214.
Index Terms

Computer Science
Information Sciences

Keywords

Copy-move forgery Discrete Cosine Transform(DCT) Block matching passive forgery detection image forgery

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