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	A New Detector of LSB Matching Steganography Based On Likelihood Ratio Test for Multivariate Gaussian Covers
	Yang, Guangyuan ; Li, Xiaolong ; Li, Bin ; Guo, Zongming
	2015
关键词	STEGANALYSIS
英文摘要	Recently, steganalysis based on hypothesis test theory becomes a focus. However, the correlation between adjacent pixels is not exploited and this is obviously not reasonable. In this paper, a new detector for least significant bit matching (LSBM) steganography is proposed with the consideration of pixel correlation. The cover pixels are modeled by multivariate Gaussian distribution and a new detector for LSBM is derived based on likelihood ratio test. Moreover, we propose to calculate the detector by considering only the smooth image pixels and this is very helpful for improving the detection performance.; CPCI-S(ISTP); guozongming@pku.edu.cn; 757-760
语种	英语
出处	Asia-Pacific-Signal-and-Information-Processing-Association Annual Summit and Conference (APSIPA ASC)
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/450142]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Yang, Guangyuan,Li, Xiaolong,Li, Bin,et al. A New Detector of LSB Matching Steganography Based On Likelihood Ratio Test for Multivariate Gaussian Covers. 2015-01-01.

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