• DocumentCode
    2541187
  • Title

    A High Payload Data Hiding Scheme for Color Image Based on BTC Compression Technique

  • Author

    Chou, Yung-Chen ; Chang, Hon-Hang

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Asia Univ., Taichung, Taiwan
  • fYear
    2010
  • fDate
    13-15 Dec. 2010
  • Firstpage
    626
  • Lastpage
    629
  • Abstract
    In the daily life, secret data delivery is an important application for privately communicated to each other over computer networks. Data hiding technique is a good way to achieve the secret data delivery, thus the color image is a popular cover media used to send the secret. Block truncation coding (BTC) is a lossy image compression technique, which can significantly reduce the size of image. In this paper, a novel data hiding method is proposed to conceal secret data into color BTC compression code. To compare with Chang et al.´s method, the proposed method can effectively generate common bitmap for save the size of compressed image. Furthermore, the proposed method can conceal more than four secret bits into a block in average. From experimental results, the proposed method not only successful achieves the goal of secret data delivery but also significantly reduce the computation cost of common bitmap generation.
  • Keywords
    data compression; data encapsulation; image coding; image colour analysis; BTC compression technique; bitmap generation; block truncation coding; color BTC compression code; color image; compressed image; computer networks; cover media; data hiding technique; high payload data hiding scheme; image reduction; lossy image compression technique; secret data delivery; Color; Data mining; Encoding; Image coding; Image color analysis; Image reconstruction; Visualization; Block truncation coding (BTC); Steganographic; color image; data hiding; information hiding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genetic and Evolutionary Computing (ICGEC), 2010 Fourth International Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4244-8891-9
  • Electronic_ISBN
    978-0-7695-4281-2
  • Type

    conf

  • DOI
    10.1109/ICGEC.2010.160
  • Filename
    5715510