• DocumentCode
    2863887
  • Title

    Study of Reversible Information Hiding Scheme Based on GHM and Color Mod Vector Structure

  • Author

    Ren Shuai ; Mu Dejun ; Zhang Tao ; Hu Wei

  • Author_Institution
    Coll. of Autom., Northwestern Polytech. Univ., Xi´an, China
  • fYear
    2009
  • fDate
    11-13 Dec. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Take advantage of the feature that the energy of the image would gather and spread on four components in the subimage after first-order GHM multi-wavelet transform. Propose an information hiding algorithm based on modifying the direction of color mod vector structure (CMVS) of four GHM first-order sub-images (LL2, LH2, HL2 and HH2). The direction of CMVS represents the information. The maximum change of direction angle is usually less than ¿/2k. Embed robust parameters in LL2, hiding information in LH2 and HL2 with RAID4, fragile sign in HH2. Using the chaotic map and the genetic algorithm, improve the consistence of the embedded data bits´ order and the character of the sub-image. Experimental results indicate that the proposed scheme can increase invisibility and robustness separately by 22.49% and 16.78% averagely, and has certain ability against steganalysis such as the RS and higher order statistics based on wavelet coefficients. Moreover, the scheme has excellent sensitivity of image processing.
  • Keywords
    data encapsulation; genetic algorithms; image coding; image colour analysis; wavelet transforms; chaotic map; color mod vector structure; first-order GHM multiwavelet transform; genetic algorithm; image processing; reversible information hiding scheme; Chaotic communication; Color; Digital images; Educational institutions; Frequency domain analysis; Genetic algorithms; Image processing; Noise robustness; Space technology; Wavelet coefficients;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4507-3
  • Electronic_ISBN
    978-1-4244-4507-3
  • Type

    conf

  • DOI
    10.1109/CISE.2009.5366227
  • Filename
    5366227