Gradient direction watermarking is uniform
quantization of the direction of gradient vector. In this
watermarking method watermark embedded in angle of
significant gradient vector. This watermarking has following
advantages.1) Invisibility of watermark as watermark is
embedded in gradient vector 2) Robust against amplitude scaling
attack.3) watermarking capacity increased due to multiscale
embedding.
Published In : IJCAT Journal Volume 1, Issue 10
Date of Publication : 30 November 2014
Pages : 519 - 520
Figures :03
Tables : --
Publication Link :Multiscale Gradient Direction Quantization
Based Watermarking
Priya Mahatme : Department of Information Technology,
MIT COE, Pune, India.
Aditi Jahagirdar : Department of Information Technology,
MIT COE, Pune, India.
Multiscale
Quantization
Watermarking
To embed the watermark in gradient direction ,we find it
in terms of wavelet coefficients and then quantized by
modifying the DWT coefficients. With the study of
various relevant papers it is observed that to extract the
watermark correctly, the decoder should be able to identify
the gradient vectors that were watermarked. To solve these
problems, we propose scrambling the positions of the
gradient vectors uniformly over the wavelet transform of
the image .The results shows that the proposed method is
superior robustness to different types of attacks.
[1] Mohammad Ali Akhaee,Sayed Mohmmad Ebrahim
Sahraein,Craig Jin “Blind Image Watermarking Usinf
Sample Projection Approach ”, Isuee 6 Vol. 20 School
of Electrical and Computer Engineering, RMIT
University, Melbourne, Australia [2010]
[2] D. Kundur and D. Hatzinakos, “Diversity and attack
characterization for improved robust watermarking,”
IEEE Trans. Signal Process., vol.49, no. 10, pp. 2383–
2396, Oct. 2001.
[3] Q. Cheng and T. S. Huang, “An additive approach to
transform-domain information hiding and optimum
detection structure,” IEEE Trans. Multimedia, vol. 3,
no. 3, pp. 273–284, Sep. 2001.
[4] N. K. Kalantari, S. M. Ahadi, and M. Vafadust, “A
robust image watermarking in the ridgelet domain
using universally optimum decoder,” IEEE Trans.
Circuits Syst. Video Technol., vol. 20, no. 3, pp. 396–
406, Mar. 2010.
[5] Y. Wang, J. F. Doherty, and R. E. Van Dyck, “A
wavelet-based watermarking algorithm for ownership
verification of digital images,” IEEE Trans. Image
Process., vol. 11, no. 2, pp. 77–88, Feb. 2002. [6] L. Ghouti, A. Bouridane, M. K. Ibrahim, and S.
Boussakta, “Digital image watermarking using
balanced multiwavelets,” IEEE Trans. Signal Process.,
vol. 54, no. 4, pp. 1519–1536, Apr. 2006.
[7] N. K. Kalantari and S. M. Ahadi, “A logarithmic
quantization index modulation for perceptually better
data hiding,” IEEE Trans. Image Process., vol. 19, no.
6, pp. 1504–1517, Jun. 2010.
[8] A. Phadikar, S. P. Maity, and B. Verma, “Region based
QIM digital watermarking scheme for image database
in DCT domain,” Comput. Elect. Eng., 2011, to be
published.
