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计算机工程 ›› 2011, Vol. 37 ›› Issue (14): 106-108. doi: 10.3969/j.issn.1000-3428.2011.14.034

• 安全技术 • 上一篇    下一篇

基于边缘匹配与最低有效位的图像隐写方法

彭 程,秦 拯,刘 鹏,刘建蓉   

  1. (湖南大学软件学院,长沙 410082)
  • 收稿日期:2011-01-06 出版日期:2011-07-20 发布日期:2011-07-20
  • 作者简介:彭 程(1984-),男,硕士研究生,主研方向:信息隐藏,信息安全;秦 拯,教授、博士;刘 鹏、刘建蓉,硕士
  • 基金资助:
    国家发改委信息安全专项基金资助项目(发改委办高技[2009]1886号文);湖南省自然科学基金资助项目(09JJ3124)

Image Steganography Method Based on Side Match and Least Significant Bit

PENG Cheng, QIN Zheng, LIU Peng, LIU Jian-rong   

  1. (Software School, Hunan University, Changsha 410082, China)
  • Received:2011-01-06 Online:2011-07-20 Published:2011-07-20

摘要: 提出一种基于边缘匹配与最低有效位的图像隐写方法。根据人类视觉特性,利用像素与其相邻像素间的像素差值,将图像分为平滑区、过渡区、边缘区,在3个区域中分别采用不同比特数的最低有效位进行嵌入。实验结果表明,该方法能增加图像嵌入容量并可保持较高的载密图像质量。

关键词: 边缘匹配, 最低有效位, 像素差值, 人类视觉特性, 隐写

Abstract: This paper presents an image steganographic method based on SM and Least Significant Bit(LSB). According to human visual characteristic, it divides an image into smooth area, transition area, and edged area by the difference value of neighboring pixels. It uses different bits LSB substitution in three areas above. Experimental results show that the proposed method provides larger embedding capacity and maintains a high visual quality of stego-image.

Key words: Side Match(SM), Least Significant Bit(LSB), pixel difference value, human visual characteristic, steganography

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