• DocumentCode
    510117
  • Title

    Study of Reversible Information Hiding Scheme Based on GHM and CBP

  • Author

    Ren Shuai ; Mu Dejun ; Zhang Tao ; Hu Wei

  • Author_Institution
    Coll. of Autom., Northwestern Polytech. Univ., Xi´an, China
  • Volume
    1
  • fYear
    2009
  • fDate
    7-8 Nov. 2009
  • Firstpage
    345
  • Lastpage
    349
  • Abstract
    Take advantage of the feature that the energy distribution ratio is approximately 4.5:2.2:2.2:1.1 in the four LL1 sub-images (LL2, LH2, HL2 and HH2) after first-order GHM multi-wavelet transform. Use the feather of image bit plane embedded strategy. Propose an information hiding scheme based on GHM and combination bit plane (CBP). LL2 is embedded module of robust parameters. Embed hiding Information in LH2 and HL2 with RAID4 and fragile sign in HH2. The position for embedding information of every sub-image is Bit Plane 0. Bit Plane 3 and Bit Plane 7 are auxiliary embedded positions by XOR. Before embedding, improve the consistence of the embedded data bits´ order and the character of the sub-image with the chaotic map and the genetic algorithm. The embedding sequence of each bit plane is traversal according to Knight-tour route. Experimental results indicate that the proposed scheme can increase invisibility by 19.92% averagely and robustness by 16.18%, and have excellent sensitivity of image processing.
  • Keywords
    cryptography; genetic algorithms; image coding; wavelet transforms; CBP; GHM multiwavelet transform; HH2; Knight-tour route; LL1 sub-images; RAID4; XOR; chaotic map; combination bit plane; energy distribution ratio; genetic algorithm; image bit plane embedded strategy; image processing; reversible information hiding; Chaotic communication; Discrete cosine transforms; Discrete wavelet transforms; Filtering; Genetic algorithms; Gray-scale; Image processing; Noise robustness; Watermarking; Wavelet transforms; GHM multi-wavelet transform; Knight-tour route; chaotic map; combination bit plane; genetic algorithm; information hiding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3835-8
  • Electronic_ISBN
    978-0-7695-3816-7
  • Type

    conf

  • DOI
    10.1109/AICI.2009.9
  • Filename
    5376220