• DocumentCode
    1721560
  • Title

    Image hiding and extraction algorithm based on intensity quantization and block random scrambling

  • Author

    Junhuan, Lin ; Yuefen, Chen

  • Author_Institution
    Mech. & Electr. Eng. Dept., Taizhou Vocational Tech. Coll., Taizhou, China
  • Volume
    2
  • fYear
    2010
  • Abstract
    Information hiding technology is studied in this paper, and a new image hiding algorithm based on intensity quantization and block random scrambling is proposed in this paper. The information is embedded into the carrier image in space domain, and when reconstructing the secret information, noise detection is performed before inverse quantization. A simple system of image hiding and extraction using the proposed algorithm based on Matlab is realized, and its resistance to noising, cropping and scribbling is simulated Results verifies the validity of the proposed algorithm and it has the advantages of simple implementation, large hiding capacity and good anti-noising and cropping performance.
  • Keywords
    data encapsulation; feature extraction; image denoising; mathematics computing; Matlab; block random scrambling; image cropping; image denoising; image extraction algorithm; image hiding; image scribbling; intensity quantization; Correlation; Image reconstruction; Noise; Pixel; Quantization; Signal processing algorithms; Image hiding; intensity quantization; noise detection; random scrambling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Systems (ICSPS), 2010 2nd International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-6892-8
  • Electronic_ISBN
    978-1-4244-6893-5
  • Type

    conf

  • DOI
    10.1109/ICSPS.2010.5555773
  • Filename
    5555773