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Image splicing detection based on markov features in QDCT domain
Li, Ce1,2; Ma, Qiang1; Xiao, Limei1; Li, Ming1; Zhang, Aihua1
2015
会议日期August 20, 2015 - August 23, 2015
会议地点Fuzhou, China
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
卷号9227
DOI10.1007/978-3-319-22053-6_32
页码297-303
英文摘要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.
会议录Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
会议录出版者Springer Verlag
语种英语
ISSN号03029743
内容类型会议论文
源URL[http://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
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]. 见:. Fuzhou, China. August 20, 2015 - August 23, 2015.
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