计算机科学 ›› 2009, Vol. 36 ›› Issue (7): 56-59.doi: 10.11896/j.issn.1002-137X.2009.07.011

• 计算机网络与信息安全 • 上一篇    下一篇

基于变步长量化的安全图像隐写

何军辉,唐韶华,邢宜博   

  1. (华南理工大学计算机科学与工程学院 广州510006);(广东省信息安全技术重点实验室 广州510006)
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受广东省信息安全技术重点实验室基金(2006年度),!词家大学生创新性实验计划(071056146)和华南理工大学SRP项目(Y1080280)资助。

Secure Image Steganography Based on Step-varying Quantization

HE Jun-hui,TANG Shao-hua,XING Yi-bo   

  • Online:2018-11-16 Published:2018-11-16

摘要: 图像隐写通过将信息隐藏在载体图像中进行秘密传送,实现隐蔽通信。提出了VSQS图像隐写算法,利用密钥控制生成高斯序列并取整,用于对经伪随机排列后的图像像素进行变步长量化,根据量化像素与秘密信息之间的关系来修改像素,实现信息的嵌入。同时给出了该算法的一种扩展(称为丁LQS隐写)。实验结果表明,VSQS和TLQS图像隐写可提供较大的隐藏容量,并能抵抗几种常见的隐写分析方法。

关键词: 隐写术,高斯序列,量化,隐写分析

Abstract: Image steganography transfers message secretly by embedding the message into a cover image to implement covert communication. We presented an image steganographic algorithm called VSQS. A secret key dependent Uaussian sequence was generated and then rounded, which is used for the step-varying quanti}ation of the pseudo-random permuted image pixels. Depending on the relationship between the ctuantized pixels and the secret message, the image pixels were modified to embed the message. Furthermore, an extension of this algorithm(called TLQS) was presented. Experimental results show that both the VSQS and TLQS image steganographic techniques may provide higher capacity and be resistant to several well-known steganalytic methods.

Key words: Steganography, Gaussian scqucnce, Quantization, Steganalysis

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