• DocumentCode
    1625075
  • Title

    M-ary reversible contrast mapping in reversible watermarking with optimal distortion control

  • Author

    Maity, Santi P. ; Maity, Hirak Kumar

  • Author_Institution
    Dept. of I.T., Bengal Eng. & Sci. Univ., Shibpur, India
  • fYear
    2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A generalized form of reversible contrast mapping (RCM), analogous to M-ary modulation in communication, is developed here for reversible watermarking in digital images. Then an optimized distortion control framework in M-ary scheme is considered to improve data hiding capacity while meeting the embedding distortion constraint. Simulation results show that the combination of different M-ary approaches, using the different points representing the different RCM transformation functions, outperforms the embedding rate-visual quality-security of the hidden information compared to the existing RCM, difference expansion (DE) and prediction error expansion (PEE) methods during over embedding. Numerical results show that an average of 20% improvement in visual quality, 35% improvement in security of the hidden data at 1 bpp embedding rate is achieved for the proposed method compared to the existing PEE works. All these effectiveness are demonstrated with a number of simulation results.
  • Keywords
    data encapsulation; distortion; image watermarking; modulation; optimal control; DE; M-ary modulation; M-ary reversible contrast mapping; PEE methods; RCM; RCM transformation functions; data hiding capacity; difference expansion; digital image watermarking; embedding distortion constraint; embedding rate-visual quality-security; optimal distortion control; optimized distortion control framework; prediction error expansion methods; reversible watermarking; visual quality; Optimization; Payloads; Simulation; Transforms; Visualization; Watermarking; Kullback-Leibler distance; M-ary; RCM; RW; optimal distortion control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2013 Fourth National Conference on
  • Conference_Location
    Jodhpur
  • Print_ISBN
    978-1-4799-1586-6
  • Type

    conf

  • DOI
    10.1109/NCVPRIPG.2013.6776269
  • Filename
    6776269