An Efficient Forensic Method for Copy–move Forgery Detection based on DWT-FWHT
Loading...
Date
2013-12
Authors
Yang, Bin
Sun, Xingming
Chen, Xianyi
Zhang, Jianjun
Li, Xu
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Společnost pro radioelektronické inženýrství
Abstract
As the increased availability of sophisticated image processing software and the widespread use of Internet, digital images are easy to acquire and manipulate. The authenticity of the received images is becoming more and more important. Copy-move forgery is one of the most common forgery methods. When creating a Copy-move forgery, it is often necessary to add or remove important features from an image. To carry out such forensic analysis, various technological instruments have been developed in the literatures. However, most of them are time-consuming. In this paper, a more efficient method is proposed. First, the image size is reduced by Discrete Wavelet Transform (DWT). Second, the image is divided into overlapping blocks of equal size and, feature of each block is extracted by fast Walsh-Hadamard Transform (FWHT). Duplicated regions are then detected by lexicographically sorting all features of the image blocks. To make the range matching more efficient, multi-hop jump (MHJ) algorithm is using to jump over some the “unnecessary testing blocks” (UTB). Experimental results demonstrated that the proposed method not only is able to detect the copy-move forgery accurately but also can reduce the processing time greatly compared with other methods.
Description
Citation
Radioengineering. 2013, vol. 22, č. 4, s. 1098-1105. issn 1210-2512
http://www.radioeng.cz/fulltexts/2013/13_04_1098_1105.pdf
http://www.radioeng.cz/fulltexts/2013/13_04_1098_1105.pdf
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
en