计算机应用 ›› 2012, Vol. 32 ›› Issue (09): 2568-2572.DOI: 10.3724/SP.J.1087.2012.02568

• 图形图像技术 • 上一篇    下一篇

基于视觉感知机理的大容量彩色图像盲隐写算法

康年锦,陈昭炯*   

  1. 福州大学 数学与计算机科学学院,福州 350108
  • 收稿日期:2012-03-14 修回日期:2012-05-02 发布日期:2012-09-01 出版日期:2012-09-01
  • 通讯作者: 康年锦
  • 作者简介:康年锦(1988-),男,福建南平人,硕士研究生,主要研究方向:智能图像处理; 陈昭炯(1964-),女,福建福州人,教授,主要研究方向:智能图像处理、计算智能。
  • 基金资助:

    福建省自然科学基金资助项目(2012J01262);福建省高校产学合作科技重大项目(2010H6012)

Large-capacity blind steganography algorithm for color images based on visual perception mechanism

KANG Nian-jin,CHEN Zhao-jiong*   

  1. College of Mathematics and Computer Science,Fuzhou University,Fuzhou Fujian 350108,China
  • Received:2012-03-14 Revised:2012-05-02 Online:2012-09-01 Published:2012-09-01

摘要: 针对现有彩色图像隐写算法大多将灰度图像的算法直接用于彩色通道,未能运用彩色视觉感知机理的问题,提出一种YUV空间上的、基于视觉感知机理的大容量彩色图像盲隐写算法。主要方法是在Y分量上通过标准差来分析载体图像的局部复杂性,利用视觉感知机理将信息分成两部分隐写于Y和V分量中,灵活性较差的U分量则作为隐写信息的通道指示器,无需大的改变。大量实验结果表明,所提算法与其他方法相比在嵌入大容量信息后依然能够保持很好的不可感知性,而且可以抵抗直方图对比和RS隐写分析方法,因而所提算法是合理、简洁、有效的。

关键词: 彩色图像, 盲隐写, 大容量, 视觉感知, YUV空间

Abstract: Most existing steganography algorithms for color images are designed by directly applying steganography for gray-scale images to color channel without employing color visual perception mechanism. A large-capacity blind steganography algorithm for color images based on visual perception mechanism in YUV space was proposed. The main idea is to analyze the local complexity of the carrier image via standard deviation on the Y component, split the message into two parts using the color visual perception mechanism, and then hide them in Y and V components respectively. Being less flexible, the U component was simply used as an information indicator. A large number of experiments were carried out showing that the proposed algorithm still maintains good imperceptibility compared with other methods after embedding large-capacity information, and can resist both the histogram contrast and RS steganalysis. Thus, the proposed algorithm is reasonable, easy to implement, and effective.

Key words: color image, blind steganography, large capacity, visual perception, YUV space

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