Paper Info
Title
An Image Copy Move Forgery Detection Method Using QDCT.
Abstract
With a rapid evolution of computer science, digital image manipulation becomes much more easily. One of the most commonly tampering with a digital image is copy-move forgery, in which a part of image is copied and used to cover another part in a different location in the same image. In this paper, we present an efficient and robust quaternion discrete cosine transform (QDCT) based method to detect this artifact. First, the R,G,B component of a tampered image is divided into overlapping fixed-size blocks, and a quaternion is constructed by using each R,G,B component block. Secondly, QDCT is applied to each quaternion block and using Zig-zag scanning extract finite QDCT coefficients, thus, the feature vectors are extracted from finite QDCT coefficients of overlapping blocks, and reduced features are generated. Finally, feature vectors are sorted lexicographically. The duplicated image blocks will be matched by a preset threshold value. Experiment results show that our proposed scheme can efficiently detect the copy-move forgery.
Year
DOI
Venue
2016
10.1145/3007669.3007689
ICIMCS
Keywords
Field
DocType
Digital image forensics, QDCT, copy-move forgery, region duplication detection
Digital image forensics,Computer vision,Feature vector,Pattern recognition,Computer science,Quaternion,Discrete cosine transform,Digital image,Forgery detection,Artificial intelligence,Lexicographical order
Conference
Citations 
PageRank 
References 
0
0.34
2
Authors
4
Name
Order
Citations
PageRank
Ce Li1294.24
Qiang Ma229536.71
limei xiao3182.38
Shihui Ying423323.32