计算机科学 ›› 2010, Vol. 37 ›› Issue (9): 101-104.

• 计算机网络与信息安全 • 上一篇    下一篇

基于相邻灰度值对互补嵌入的LSB匹配隐写改进算法

奚玲,平西建,张涛   

  1. (解放军信息工程大学 郑州450002)
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受国家自然科学基金(60903221)资助。

Improved LSB Matching Steganographic Method Based on Complementary Embedding of Adjacent Intensity Pixels

XI Ling,PING Xi-jian,ZHANG Tao   

  • Online:2018-12-01 Published:2018-12-01

摘要: LSB匹配隐写具有嵌入量大、视觉隐蔽性高的优势,但采用LSB匹配隐写算法对于载密图像的灰度直方图有明显的平滑作用,因此攻击者可以基于直方图分析图像是否载密。通过研究LSB匹配算法对直方图产生影响的机理,提出一种基于相部灰度值互补嵌入的LSB匹配改进算法。该算法利用匹配像素灰度值加减i对直方图的影响具有互补性的特点,以相部灰度值匹配像素对为对象进行成对嵌入,有效地保持了直方图特性,极大地提高了算法的抗统计分析性能。

关键词: LSB匹配,直方图,统计分析

Abstract: LSB matching steganographic method has the advantage of large capacity and high invisibility, but the histogram of the stego image produced by this method is smoothened. Then attackers can detect whether the image has been changed. In this paper, an improved method was proposed. According to the complementary property of the random士1 behavior, the improved method embeds most of the secrete bits in pixels with adjacent intensity. By the proposed method the cover image's histogram can be maintained in a considerable extend so as to make the stego image more difficult to be detected than I_SI3 matching steganograpy.

Key words: LSB matching, Histogram, Statistic analyzer

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