• DocumentCode
    643400
  • Title

    Enhanced data hiding method using DWT based on Saliency model

  • Author

    Agarwal, Charul ; Bose, Anjan ; Maiti, Santa ; Islam, Nahina ; Sarkar, Subir Kumar

  • Author_Institution
    Electron. & Commun. Dept., Future Inst. of Eng. & Manage., Kolkata, India
  • fYear
    2013
  • fDate
    26-28 Sept. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Visual saliency signifies the region of perceptual significance in an image to human vision system (HVS). It is the inherent quality that discriminates an object from its neighbors. The Saliency map computes such regions in an image. In this paper, we present the application of Wavelet domain data hiding in such prominent regions. The proposed algorithm embeds information into visually interesting areas within the host image, determined by the visual attention model. This algorithm is very simple in structure but enhanced robustness to survive against various geometric and filtering attacks. A thoroughly verified subjective and objective evaluation speaks out our claim of enhanced ability in maintaining image quality under such impairment.
  • Keywords
    data encapsulation; discrete wavelet transforms; image segmentation; visual perception; DWT; HVS; filtering attacks; geometric attacks; human vision system; image quality; visual attention model; visual saliency map; wavelet domain data hiding; Correlation; Discrete wavelet transforms; Noise; Robustness; Transform coding; Visualization; Watermarking; Human Visual System; Saliency Map; Wavelet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, Computing and Control (ISPCC), 2013 IEEE International Conference on
  • Conference_Location
    Solan
  • Print_ISBN
    978-1-4673-6188-0
  • Type

    conf

  • DOI
    10.1109/ISPCC.2013.6663414
  • Filename
    6663414