Image splicing detection based on Markov features in QDCT domain
Li, Ce1,2; Ma, Qiang2; Xiao, Limei2; Li, Ming2; Zhang, Aihua2
2017-03-08
发表期刊NEUROCOMPUTING
ISSN0925-2312
卷号228页码:29-36
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 be processed in previous image splicing detection algorithms. However, most forgery 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. First of all, color information is extracted from blocked images to construct quaternion in a whole manner, and the QDCT coefficients of quaternion blocked images can be obtained. Secondly, the expanded Markov features generated from the transition probability matrices in QDCT domain can not only capture the intra-block, but also the inter-block correlation between block QDCT coefficients. Finally, support vector machine (SVM) is exploited to classify the Markov feature vector. The experiment results demonstrate that the proposed algorithm not only make use of color information of images, but also can yield considerably better detection performance compared with the state-of-the-art splicing detection methods tested on the same dataset.
关键词Markov model Quaternion discrete cosine transform Image splicing Color image for detection
DOI10.1016/j.neucom.2016.04.068
收录类别SCI
语种英语
资助项目China Postdoctoral Science Foundation[2014M550494]
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000393017900005
出版者ELSEVIER SCIENCE BV
引用统计
被引频次:53[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://ir.lut.edu.cn/handle/2XXMBERH/33334
专题新能源学院
电气工程与信息工程学院
通讯作者Li, Ce
作者单位1.Xi An Jiao Tong Univ, Sch Elect & Informat Engn, Xian 710049, Peoples R China
2.Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou 730050, Peoples R China
第一作者单位电气工程与信息工程学院
通讯作者单位电气工程与信息工程学院
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[J]. NEUROCOMPUTING,2017,228:29-36.
APA Li, Ce,Ma, Qiang,Xiao, Limei,Li, Ming,&Zhang, Aihua.(2017).Image splicing detection based on Markov features in QDCT domain.NEUROCOMPUTING,228,29-36.
MLA Li, Ce,et al."Image splicing detection based on Markov features in QDCT domain".NEUROCOMPUTING 228(2017):29-36.
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