• DocumentCode
    2164557
  • Title

    A new data hiding method using angle quantization index modulation in gradient domain

  • Author

    Nezhadarya, Ehsan ; Wang, Z. Jane ; Ward, Rabab K.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC, Canada
  • fYear
    2011
  • fDate
    22-27 May 2011
  • Firstpage
    2440
  • Lastpage
    2443
  • Abstract
    A robust data hiding scheme that embeds the watermark bits by quantizing the gradient directions of an image is proposed. By embedding the watermark in the angle, the watermark becomes robust to amplitude scaling attacks. To keep the watermark imperceptible and enhance its robustness, it is embedded in the significant gradient vectors of the image. The significant gradient vectors are obtained using discrete wavelet transform (DWT). Thus, the gradient vector at a pixel is first obtained in terms of the DWT coefficients. Then the gradient direction is quantized by modifying the DWT coefficients corresponding to the gradient vectors. Experimental results confirm that the proposed gradient direction watermarking (GDWM) method is robust to various types of attacks, specially amplitude scaling at tacks, and results in watermarked images of high fidelity.
  • Keywords
    data encapsulation; discrete wavelet transforms; gradient methods; image watermarking; quantisation (signal); DWT; amplitude scaling attacks; angle quantization index modulation; data hiding method; discrete wavelet transform; gradient direction watermarking; gradient vectors; image watermarking; watermark bits; Discrete wavelet transforms; Indexes; Modulation; Quantization; Robustness; Watermarking; Digital watermarking; amplitude scaling attacks; gradient direction quantization; quantization-based watermarking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
  • Conference_Location
    Prague
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4577-0538-0
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2011.5946977
  • Filename
    5946977