• DocumentCode
    3667994
  • Title

    A survey on joint data-hiding and compression techniques based on SMVQ and image inpainting

  • Author

    Sikha Mary Varghese;Alphonsa Johny;Jubilant Job

  • Author_Institution
    Department of Computer Science and Engineering, St. Joseph´s College of Engineering &
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Today data hiding is latest research area in which secret data is hidden in any cover image like audio, video, file and image. Hiding of data is mainly done in medical and military needs. In this paper, it covers many data hiding and compression schemes, but we mainly focus on side match vector quantitation and image inpainting in this paper. The goal of using side match vector quantitation is to hide the secret data into a compressed image and to provide lossless reconstruction of the original image. Here both the functions, data hiding and compression can be integrated into a single module.
  • Keywords
    "Image coding","Vector quantization","Receivers","Data mining","Image reconstruction","Correlation","Image segmentation"
  • Publisher
    ieee
  • Conference_Titel
    Soft-Computing and Networks Security (ICSNS), 2015 International Conference on
  • Print_ISBN
    978-1-4799-1752-5
  • Type

    conf

  • DOI
    10.1109/ICSNS.2015.7292367
  • Filename
    7292367