Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6236
Title: AN EFFICIENT AND ROBUST METHOD FOR DETECTING COPY-MOVE FORGERY
Authors: Bayram, Sevinç
Sencar, Hüsrev Taha
Memon, Nasir
Keywords: Digital Forensics
tamper detection
copy-move forgery
duplicated region detection
Issue Date: 2009
Publisher: IEEE
Source: IEEE International Conference on Acoustics, Speech and Signal Processing -- APR 19-24, 2009 -- Taipei, TAIWAN
Series/Report no.: International Conference on Acoustics Speech and Signal Processing ICASSP
Abstract: Copy-move forgery is a specific type of image tampering, where a part of the image is copied and pasted on another part of the same image. In this paper, we propose a new approach for detecting copy-move forgery in digital images, which is considerably more robust to lossy compression, scaling and rotation type of manipulations. Also, to improve the computational complexity in detecting the duplicated image regions, we: propose to use the notion of counting bloom filters as an alternative to lexicographic sorting, which is a common component of most of the proposed copy-move forgery detection schemes. Our experimental results show that the proposed features can detect duplicated region in the images very accurately, even when the copied region was undergone severe image manipulations. In addition, it is observed that use of counting bloom filters offers a considerable improvement in time efficiency at the expense of a slight reduction in the robustness.
URI: https://doi.org/10.1109/ICASSP.2009.4959768
https://hdl.handle.net/20.500.11851/6236
ISBN: 978-1-4244-2353-8
ISSN: 1520-6149
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Show full item record

CORE Recommender

SCOPUSTM   
Citations

392
checked on Sep 23, 2022

WEB OF SCIENCETM
Citations

246
checked on Sep 24, 2022

Page view(s)

16
checked on Dec 26, 2022

Google ScholarTM

Check

Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.