Adaptive steganography algorithm in digital image based on Arnold transform

Qi LI; Xin LIAO; Guo-qing QU; Guo-yong CHEN; Jiao DU

doi:10.11959/j.issn.1000-436x.2016128

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Adaptive steganography algorithm in digital image based on Arnold transform

Correspondences | 更新时间：2024-06-05

- Adaptive steganography algorithm in digital image based on Arnold transform
- Journal on Communications Vol. 37, Issue 6, Pages: 192-198(2016)
- 作者机构：
  
  1. 湖南大学信息科学与工程学院，湖南长沙 410082
  2. 中国科学院软件研究所，北京 100190
  3. 中国科学院信息工程研究所，北京 100190
  4. 南京大学软件学院，江苏南京 210093
  5. 河南师范大学数学与信息科学学院，河南新乡 453007
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61402162);The National Natural Science Foundation of China(U1404601);The National Natural Science Foundation of China(61402154);The National Natural Science Foundation of China(11571094);Doctoral Program of Higher Programs Foundation of Chinese Ministry of Education(20130161120004);Hunan Provincial Natural Science Foundation of China(14JJ7024);Project Funded by China Postdoctoral Science Foundation(2014M560123);Program for Innovative Research Team(Science and Technology)in University of Henan Province(14IRTSTHN023)
- DOI：10.11959/j.issn.1000-436x.2016128
  CLC： TP309
- Online First：2016-06，
  
  Published：25 June 2016
- 稿件说明：
移动端阅览
Qi LI, Xin LIAO, Guo-qing QU, et al. Adaptive steganography algorithm in digital image based on Arnold transform[J]. Journal on Communications, 2016, 37(6): 192-198.
DOI：

Qi LI, Xin LIAO, Guo-qing QU, et al. Adaptive steganography algorithm in digital image based on Arnold transform[J]. Journal on Communications, 2016, 37(6): 192-198. DOI： 10.11959/j.issn.1000-436x.2016128.

摘要

以往的图像自适应隐写算法大多数以顺序满嵌的方式嵌入秘密信息，这类算法秘密信息的隐蔽性不够高，因此提出一种随机非满嵌算法。通过分析出图像的系统参数使图像的满嵌容量刚好大于秘密信息的长度让载体图像达到非满嵌，增强了隐写的灵活性，减少了载体图像的嵌入修改量。再使用Arnold变换对数据的嵌入顺序进行置乱，防止攻击者按顺序分析出秘密信息，使秘密信息的隐蔽性变高，进而提高了算法的安全性。实验结果表明本算法提高了隐写的隐蔽性，减少了图像的嵌入失真度，且随机非满嵌操作适用于很多同类算法。

Abstract

Previous adaptive steganography algorithms were based on ordinal and full-embedding method.However

these algorithms might cause the concealment of secret information not good enough.Therefore

a random and non-fully embedding method was proposed to improve the concealment.The image system parameters could be obtained

so that the image full capacity was exactly greater than the length of information for non-full embedding.Moreover

these parameters made steganography more flexibility by reducing the modifications of image.Then

secret information embedding sequence was scrambled based on Arnold transform for the purpose that the steganalyst cannot detect out information orderly.Therefore

the secret information can be more concealed

which can improve the security of the algorithms.Experimental results show that the algorithm not only improves the concealment of steganography but also reduces stego distortion

and random non-full embedding operating can be applied to many other similar algorithms.

关键词

Keywords

references

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