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    王垚飞

    • 副教授 硕士生导师
    • 教师拼音名称:Wang Yaofei
    • 所在单位:计算机与信息学院
    • 办公地点:安徽省合肥市蜀山区丹霞路485号合肥工业大学翡翠湖校区翡翠科教楼A座604-4
    • 联系方式:wyf@hfut.edu.cn
    • 学位:工学博士学位
    • 在职信息:在职
    • 毕业院校:中国科学技术大学 网络空间安全学院

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    JPEG Steganography with Estimated Side-Information

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    影响因子:5.859

    发表刊物:IEEE Transactions on Circuits and Systems for Video Technology

    关键字:Steganography, JPEG images, minimal distortion, side-information, denoising, deblocking

    摘要:Previous studies have exhibited that incorporating side-information, e.g., a high-quality precover image, can significantly improve steganographic security for JPEG images. This motivates us to estimate the side-information for traditional steganographic scenario in which only a JPEG image is available. It is expected to achieve high-level security by utilizing the estimated side-information similar to side-informed steganography, even though the estimated side-information is not perfectly precise. In this paper, a general framework of side-information estimated (SIE) JPEG steganography is proposed, under which the core problems are how to better estimate the precover and modulate the distortion function correspondingly. To address the two problems, we test several denoising filters and a deblocking filter to obtain the estimated precover, and we introduce two implementation models for modulating the costs. We finally recommend the combination of the deblocking filter and the modulation model using the polarity of the estimated rounding error. The experimental results show that the proposed method dramatically improves the existing additive distortions for images of an arbitrary quality factor and outperforms the state-of-the-art methods based on estimating side-information when resisting modern steganalysis.

    合写作者:陈可江,周航,王垚飞,俞能海

    第一作者:李伟祥

    论文类型:期刊论文

    通讯作者:张卫明

    学科门类:工学

    文献类型:J

    卷号:30

    ISSN号:1051-8215

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    收录刊物:SCI