• DocumentCode
    2629736
  • Title

    A high capacity image hiding method based on fuzzy image coding/decoding

  • Author

    Toony, Zahra ; Sajedi, Hedieh ; Jamzad, Mansour

  • Author_Institution
    Dept. of Comput. Eng., Sharif Univ. of Technol., Tehran, Iran
  • fYear
    2009
  • fDate
    20-21 Oct. 2009
  • Firstpage
    518
  • Lastpage
    523
  • Abstract
    Recently, a technique has been proposed for image hiding, that is based on block texture similarity where, blocks of secret image are compared with blocks of a set of cover images and the cover image with the most similar blocks to those of the secret image is selected as the best candidate cover image to conceal the secret image. In this paper, we propose a new image hiding method in which, the secret image is initially coded using a fuzzy coding/decoding method. By applying the fuzzy coder, each block of the secret image is compressed to a smaller block. In this way, after compressing the secret image to a smaller one, we hide it in a cover image. Obviously hiding a smaller secret image causes less distortion in the stego-image (the image that has secret image or data) and therefore higher quality stego-image is obtained. Consequently, the proposed method provides higher embedding rate and enhanced security.
  • Keywords
    fuzzy set theory; image coding; image texture; steganography; block texture similarity; fuzzy image coding; fuzzy image decoding; image hiding method; secret image; security enhancement; stego-image; Biomedical imaging; Data encapsulation; Data security; Decoding; Fuzzy sets; Histograms; Huffman coding; Image coding; Image databases; Pixel; Fuzzy coding/decoding; Image hiding; Steganography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Conference, 2009. CSICC 2009. 14th International CSI
  • Conference_Location
    Tehran
  • Print_ISBN
    978-1-4244-4261-4
  • Electronic_ISBN
    978-1-4244-4262-1
  • Type

    conf

  • DOI
    10.1109/CSICC.2009.5349632
  • Filename
    5349632