Image splicing detection based on markov features in QDCT domain

doi:10.1007/978-3-319-22053-6_32

	Image splicing detection based on markov features in QDCT domain
	Li, Ce 1,2; Ma, Qiang 1; Xiao, Limei1 ; Li, Ming 1; Zhang, Aihua1
	2015
会议名称	11th International Conference on Intelligent Computing, ICIC 2015
会议录名称	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
卷号	9227
页码	297-303
会议日期	August 20, 2015 - August 23, 2015
会议地点	Fuzhou, China
出版者	Springer Verlag
摘要	Image splicing is very common and fundamental in image tampering. Therefore, image splicing detection has attracted more and more attention recently in digital forensics. Gray images are used directly, or color images are converted to gray images before processing in previous image splicing detection algorithms. However, most natural images are color images. In order to make use of the color information in images, a classification algorithm is put forward which can use color images directly. In this paper, an algorithm based on Markov in Quaternion discrete cosine transform (QDCT) domain is proposed for image splicing detection. The support vector machine (SVM) is exploited to classify the authentic and spliced images. The experiment results demonstrate that the proposed algorithm not only make use of color information of images, but also can achieve high classification accuracy. © Springer International Publishing Switzerland 2015.
关键词	Classification (of information) Color Discrete cosine transforms Information use Intelligent computing Markov processes Support vector machines Classification accuracy Classification algorithm Color images Color information Image splicing detection Image tampering Markov model QDCT
DOI	10.1007/978-3-319-22053-6_32
收录类别	EI
语种	英语
EI入藏号	20163502762703
EI主题词	Digital forensics
ISSN	03029743
来源库	Compendex
分类代码	723 Computer Software, Data Handling and Applications - 723.4 Artificial Intelligence - 741.1 Light/Optics - 903.1 Information Sources and Analysis - 903.3 Information Retrieval and Use - 921.3 Mathematical Transformations - 922.1 Probability Theory
引用统计	被引频次：5[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/117527
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; 730050, China; 2.School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an; 710049, 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. Image splicing detection based on markov features in QDCT domain[C]:Springer Verlag,2015:297-303.