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. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论