• DocumentCode
    3169469
  • Title

    Minimal distortion steganography using well-defined functions

  • Author

    Iranpour, Mehran ; Farokhian, Farnaz

  • Author_Institution
    Dept. of Comput. Eng., Islamic Azad Univ., Garmsar, Iran
  • fYear
    2013
  • fDate
    11-13 Dec. 2013
  • Firstpage
    21
  • Lastpage
    24
  • Abstract
    The present paper proposes a novel method for grayscale image steganography which provides minimal distortion. The cover image is first divided into some blocks such that each block contains three pixels. Three bits of secret data are then embedded into each block by increasing/decreasing one pixel or rarely three pixels by one as done in LSB matching. However, data bits are not directly extracted from the LSBs of the pixels, but they will be obtained from three well-defined binary functions. Using the novel proposed technique, each pixel of the cover image is modified with the probability of 0.375 on average. The experimental results evaluated on 2000 natural images with RS steganalytic algorithm show that our proposed method can significantly decrease the image distortion and enhance the security.
  • Keywords
    distortion; image coding; probability; steganography; LSB matching; RS steganalytic algorithm; grayscale image steganography; image distortion; minimal distortion steganography; secret data; well-defined binary functions; Conferences; Data mining; Gray-scale; PSNR; Parity check codes; Payloads; Security; Image distortion; LSB matching; Steganography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Capacity Optical Networks and Enabling Technologies (HONET-CNS), 2013 10th International Conference on
  • Conference_Location
    Magosa
  • Print_ISBN
    978-1-4799-2568-1
  • Type

    conf

  • DOI
    10.1109/HONET.2013.6729751
  • Filename
    6729751