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Local correlation pattern for image steganalysis
Xu, Xikai; Dong, Jing; Wang, Wei; Tan, Tieniu
2015
Conference NameIEEE China Summit and International Conference on Signal and Information Processing
Source PublicationProceedings of IEEE China Summit and International Conference on Signal and Information Processing
Conference Date12-15 July 2015
Conference PlaceChengdu, China
AbstractCorrelation of pixels is the most important information used for image steganalysis. Current methods often consider some special types of relationships among neighboring pixels. In this paper, we propose a general descriptor to consider the correlation of pixels comprehensively. We consider the correlation of pixels in an adjacency pattern as a local correlation pattern (LCP). The LCP descriptor is proposed to embrace different local correlation patterns and represent each pattern by mapping the relative values of pixels in the pattern to a numerical value. Then, histograms of LCP values are taken as features for steganalysis. The LCP descriptor also can be used for describing the correlation of elements in the residual image obtained by image filtering. Experiments show that our constructed feature set based on the LCP descriptor outperforms a state-of-the-art method on detecting three popular steganographic algorithms.
KeywordSteganalysis Local Correlation
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12312
Collection智能感知与计算研究中心
Corresponding AuthorDong, Jing
Recommended Citation
GB/T 7714
Xu, Xikai,Dong, Jing,Wang, Wei,et al. Local correlation pattern for image steganalysis[C],2015.
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