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	LOCAL TERNARY PATTERN BASED ON PATH INTEGRAL FOR STEGANALYSIS
	Lin, Qiuyan ; Liu, Jiaying ; Guo, Zongming
	2016
关键词	Steganalysis LSB matching local ternary pattern (LTP) path integral based LTP (pi-LTP) BINARY PATTERNS LSB CLASSIFICATION IMAGES
英文摘要	The least significant bit (LSB) matching is a steganographic method which embeds the stego signal into cover images in the spatial domain. However, the stego signal disturbs the correlation of neighboring pixels in cover image and this can be utilized for steganalysis. Local binary pattern (LBP) is an effective image texture descriptor, and it can summarize the correlation of neighboring pixels. In this paper, a LBP-based steganalyzer is proposed to identify the deviations of the correlation violated by the stego noise. Specifically, our paper proposes the local ternary pattern based on path integral (pi-LTP) to enhance the feature discrimination in large-scale pixels. Moreover, a greedy incremental algorithm is utilized in our method to select the optimal subspace of pi-LTP features. Experimental results show our method has a better performance than the state-of-the-art steganalysis methods.; CPCI-S(ISTP); guozongming@pku.edu.cn; 2737-2741
语种	英语
出处	23rd IEEE International Conference on Image Processing (ICIP)
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/459883]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Lin, Qiuyan,Liu, Jiaying,Guo, Zongming. LOCAL TERNARY PATTERN BASED ON PATH INTEGRAL FOR STEGANALYSIS. 2016-01-01.

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