基于图像复杂度的隐写算法

张倩; 刘圆

doi:10.3788/YJYXS20122706.0820

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基于图像复杂度的隐写算法

成像技术与图像处理 | 更新时间：2020-08-12

- 基于图像复杂度的隐写算法
- Steganographic Algorithm Based on Image Complexity
- 液晶与显示 2012年27卷第6期页码：820-826
- 作者机构：
  
  1. 武警工程大学信息工程系,陕西西安,710038
  2. 武警云南总队二支队,云南昆明,650020
- 作者简介：
- 基金信息：
- DOI：10.3788/YJYXS20122706.0820
  中图分类号： TP391
- 收稿日期：2012-06-24，
  
  修回日期：2012-08-10，
  
  纸质出版日期：2012-12-15
- 稿件说明：
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张倩, 刘圆. 基于图像复杂度的隐写算法[J]. 液晶与显示, 2012,(6): 820-826,831

ZHANG Qian, LIU Yuan. Steganographic Algorithm Based on Image Complexity[J]. , 2012,(6): 820-826,831
张倩, 刘圆. 基于图像复杂度的隐写算法[J]. 液晶与显示, 2012,(6): 820-826,831 DOI： 10.3788/YJYXS20122706.0820.

ZHANG Qian, LIU Yuan. Steganographic Algorithm Based on Image Complexity[J]. , 2012,(6): 820-826,831 DOI： 10.3788/YJYXS20122706.0820.

摘要

提出了一种新的基于图像复杂度的隐写算法。该算法充分利用了复杂度高的图像

包含更多的信息

因而能承载更多秘密信息的特点

将图像划分为33的图像块

借助图像块的信息熵和对比度描述图像块的复杂度

根据各块复杂度统计值确定阈值

以判定各块复杂度高低

并针对不同复杂度的图像块进行不同强度的嵌入

实现了基于图像复杂度的隐写算法。性能分析与实验对比表明

在相同的嵌入率下

该算法具有较高峰值信噪比和较强的统计安全性。

Abstract

A new adaptive steganographic algorithm based on image complexity in space domain was proposed. The algorithm takes full advantage of the image's feature that the image with high complexity contains more information and thus can load more secret message. In order to measure the complexity of image blocks in a better way

the algorithm divides the cover image into 3?3 pixel blocks

and then measures the complexity of blocks by computing information entropy and contrast. After that

the algorithm analyzes the statistics of all the blocks'complexity to get the threshold for evaluating the complexity of every block

and then chooses steganographic algorithms with different strength at the different complexity of blocks. The performance analysis and comparison experiments showed that in the same embedded rate

the proposed algorithm has higher

PSN

and stronger statistical security in the same embedded rate.

关键词

Keywords

references

Kawaguchi E, Eason R O. Principle and application of BPCS-steganography [J]. Proceedings of SPIE:Multimedia Systems and Applications,1998,3528:464-472.[2] BenderW, Gruhl D,Morimoto N,et al. Techniques for data hiding [J]. IBM System Journal, 1996, 35 (3,4):313-336.[3] Wu D C, Tsai W H. A steganographic method for images by pixel-value differencing [J]. Pattern Recognition Letters, 2003,24:1613-1626.[4] Zhang X,Wang S.Vulnerability of pixel-value differencing steganography to historgram. [J]. Pattern Recognition Letters, 2004,25:331-339.[5] Wu H C,Wu N I,Tsai C S,et al. Image steganographic scheme based on pixel-value differencing and LSB replacement methods [J]. IEE Proc. Image Signal Process, 2005,152(5):611-615.[6] Yang C H, Weng C Y, Wang S J, et al. Varied PVD+ LSB evading detection programs to spatial domain in data embedding systems [J]. The Journal of Systems and Software,2010, 83:1635-1643.[7] Lin C C. An information hiding scheme with minimal image distortion[J]. Computer Standards & Interfaces, 2011,33:477-484.[8] Schaefer G, Stich M. UCID-An uncompressed colour image database [R]. Technical Report, UK:School of Computing and Mathematics, Nottingham Trent University, 2003.[9] Pevny T, Bas P, Fridrich J. Steganalysis by subtractive pixel adjacency matrix [C]//Proceedings of the 11th ACM Multimedia & Security Workshop, Princeton, NJ:ACM, 2009:75-84.

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