An image copy move forgery detection method using QDCT

doi:10.1145/3007669.3007689

	An image copy move forgery detection method using QDCT
	Li, Ce 1; Ma, Qiang 1; Xiao, Limei1 ; Ying, Shihui 2
	2016-08-19
会议名称	8th International Conference on Internet Multimedia Computing and Service, ICIMCS 2016
会议录名称	ACM International Conference Proceeding Series
卷号	19-21-August-2016
页码	5-8
会议日期	August 19, 2016 - August 21, 2016
会议地点	Xi'an, China
出版者	Association for Computing Machinery
摘要	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. © 2016 ACM.
关键词	Computer crime Discrete cosine transforms Copy-move forgeries Copy-move forgery detections Digital image forensics Duplication detection Feature vectors QDCT Tampered images Threshold-value
DOI	10.1145/3007669.3007689
收录类别	EI
语种	英语
EI入藏号	20170103220326
EI主题词	Digital forensics
来源库	Compendex
分类代码	921.3 Mathematical Transformations
引用统计	被引频次：15[WOS] [WOS记录] [WOS相关记录]
文献类型	会议论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/117449
专题	电气工程与信息工程学院
作者单位	1.College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, China; 2.Department of Mathematics, School of Sciences, Shanghai University, Shanghai, China
第一作者单位	兰州理工大学
推荐引用方式 GB/T 7714	Li, Ce,Ma, Qiang,Xiao, Limei,et al. An image copy move forgery detection method using QDCT[C]:Association for Computing Machinery,2016:5-8.