计算机工程 ›› 2017, Vol. 43 ›› Issue (12): 274-277.doi: 10.3969/j.issn.1000-3428.2017.12.049

• 开发研究与工程应用 • 上一篇    下一篇

一种基于块熵的均匀嵌入隐写算法

魏伟一,杨阳   

  1. (西北师范大学 计算机科学与工程学院,兰州 730070)
  • 收稿日期:2016-12-06 出版日期:2017-12-15 发布日期:2017-12-15
  • 作者简介:魏伟一(1976—),男,副教授,主研方向为多媒体信息安全;杨阳,硕士研究生。
  • 基金项目:
    甘肃省科技计划项目(1506RJZA130);甘肃省高等学校科研项目(2014B-018)。

An Uniform Embedding Steganography Algorithm Based on Block Entropy

WEI Weiyi,YANG Yang   

  1. (College of Computer Science and Engineering,Northwest Normal University,Lanzhou 730070,China)
  • Received:2016-12-06 Online:2017-12-15 Published:2017-12-15

摘要: 在均匀嵌入改进算法中,失真函数仅考虑非零系数的个数而未考虑统计分布对嵌入位置的影响。为此,结合块熵的概念,完善失真函数定义,设计一种新型的JPEG均匀嵌入隐写算法,将秘密信息更好地嵌入图像边缘、纹理等复杂区域。实验结果表明,相比BCH、EBS、UERD和SI-UNI算法,该算法的嵌入容量及抗隐写分析能力得到较大的提高。

关键词: JPEG隐写, 最小失真嵌入, 均匀嵌入, 块熵, 失真函数

Abstract: In Uniform Embedding Revisited Distortion(UERD) algorithm,the distortion function only considers the number of nonzero coefficients and does not take into account the influence of the statistical distribution on the embedding position,so this paper designs a new JPEG uniform embedding steganography algorithm,which combines with the concept of block entropy and improves the definition of distortion function.The secret information can be better embedded in the image regions with high complexity,such as edges and texture.Experimental results demonstrate that compared with BCH,EBS,UERD and SI-UNI algorithms,the embedding capacity and steganalysis capability of the proposed algorithm are greatly improved.

Key words: JPEG steganography, minimal distortion embedding, uniform embedding, block entropy, distortion function

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