An image copy move forgery detection method using QDCT | |
Li, Ce2; Ma, Qiang2; Xiao, Limei2; Ying, Shihui1 | |
2016-08-19 | |
会议日期 | August 19, 2016 - August 21, 2016 |
会议地点 | Xi'an, China |
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 |
卷号 | 19-21-August-2016 |
DOI | 10.1145/3007669.3007689 |
页码 | 5-8 |
英文摘要 | 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. |
会议录 | ACM International Conference Proceeding Series |
会议录出版者 | Association for Computing Machinery |
语种 | 英语 |
内容类型 | 会议论文 |
源URL | [http://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.Department of Mathematics, School of Sciences, Shanghai University, Shanghai, China 2.College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, China; |
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]. 见:. Xi'an, China. August 19, 2016 - August 21, 2016. |
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