Journal on Communications ›› 2016, Vol. 37 ›› Issue (6): 192-198.doi: 10.11959/j.issn.1000-436x.2016128

• Correspondences • Previous Articles    

Adaptive steganography algorithm in digital image based on Arnold transform

Qi LI1,Xin LIAO1,2,3,Guo-qing QU4,Guo-yong CHEN1,Jiao DU5   

  1. 1 College of Computer Science and Electronic Engineering,Hunan University,Changsha 410082,China
    2 Institute of Software Chinese Academy of Sciences,Beijing 100190,China
    3 Institute of Information Engineering Chinese Academy of Sciences,Beijing 100190,China
    4 Software Institute,Nanjing University,Nanjing 210093,China
    5 College of Mathematics and Information Science,Henan Normal University,Xinxiang 453007,China
  • Online:2016-06-25 Published:2017-08-04
  • Supported by:
    The National Natural Science Foundation of China;The National Natural Science Foundation of China;The National Natural Science Foundation of China;The National Natural Science Foundation of China;Doctoral Program of Higher Programs Foundation of Chinese Ministry of Education;Hunan Provincial Natural Science Foundation of China;Project Funded by China Postdoctoral Science Foundation;Program for Innovative Research Team(Science and Technology)in University of Henan Province

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.

Key words: steganography, Arnold transform, system parameter, non-fully embedding

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