• DocumentCode
    672641
  • Title

    High security image steganography using IWT and graph theory

  • Author

    Thanikaiselvan, V. ; Arulmozhivarman, P.

  • Author_Institution
    Sch. of Electron. Eng., VIT Univ., Vellore, India
  • fYear
    2013
  • fDate
    8-10 Oct. 2013
  • Firstpage
    337
  • Lastpage
    342
  • Abstract
    Steganography conceals the secret information inside the cover medium. There are two types of steganography techniques available practically. They are spatial domain steganography and Transform domain steganography. The objectives to be considered in the steganography methods are high capacity, imperceptibility and robustness. In this paper, a Color image steganography in transform domain is proposed. Reversible Integer Haar wavelet transform is applied to the R, G and B planes separately and the data is embedded in a random manner. Random selection of wavelet coefficients is based on the graph theory. This proposed system uses three different keys for embedding and extraction of the secret data, where key1(Subband Selection - SB) is used to select the Wavelet subband for embedding, key2(Selection of Co-effecients-SC) is used to select the co-efficients randomly and key3 (Selection of Bit length-SB) is used to select the number of bits to be embedded in the selected co-efficients. This method shows good imperceptibility, High capacity and Robustness.
  • Keywords
    Haar transforms; graph theory; image colour analysis; random processes; steganography; wavelet transforms; B planes; G planes; IWT; R planes; SB; SC; color image steganography; graph theory; high security image steganography techniques; imperceptibility; random selection; reversible integer Haar wavelet transform; secret data embedding; secret data extraction; secret information; selection of bit length; selection of co-effecients; spatial domain steganography; subband selection; transform domain steganography; wavelet coefficients; wavelet subband; Hafnium; Robustness; Graph Theory; IWT (Integer Wavelet Transform); LSB(Least Significant Bit) substitution; Steganalysis; Steganography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal and Image Processing Applications (ICSIPA), 2013 IEEE International Conference on
  • Conference_Location
    Melaka
  • Print_ISBN
    978-1-4799-0267-5
  • Type

    conf

  • DOI
    10.1109/ICSIPA.2013.6708029
  • Filename
    6708029