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 |
ISSN | 0925-2312 |
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 |
DOI | 10.1016/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 | |
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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