A New and Robust Image Watermarking Technique Using Contourlet-DCT Domain and Decomposition Model


(*) Corresponding author


Authors' affiliations


DOI's assignment:
the author of the article can submit here a request for assignment of a DOI number to this resource!
Cost of the service: euros 10,00 (for a DOI)

Abstract


A new and robust image watermarking technique based on the Partial Differential Equations (PDE) using contourlet-domain and Discrete Cosine Transform (DCT) is proposed in this paper. The main idea is to insert the mark with two different way (contourlet and DCT) on the two image components (geometric and texture) obtained by the decomposition model based on EDP. Experimentation has ensured the mark invisibility, the facility of extraction of the mark and the robustness against different kinds of attacks.
Copyright © 2013 Praise Worthy Prize - All rights reserved.

Keywords


Partial Differential Equations; Texture Component; Geometrical Component; Watermarking; Robustness; Frequency-Domain Watermarking; Discrete Cosine Transform (DCT)

Full Text:

PDF


References


A Reddy Adhipathi, B.N. Chatterji, A new wavelet based logo-watermarking scheme, Pattern Recognition Letters 26 (2005) 1019-1027.

Santa Agreste, Guido Andaloro, A new approach to pre-processing digital image for wavelet-based watermark, Journal of Computational and Applied Mathematics 210 (2007) 13 – 21.

Yong-Gang Fu, Rui-Min Shen, Color image watermarking scheme based on linear discriminant analysis, Computer Standards & Interfaces 30 (2008) 115–120.

M. Kutter, F. Jordan, F. Bossen, Digital watermarking of color images using amplitude modulation, Journal of Electronic Imaging 7 (2) (1998) 326–332.

R. Lancini, F. Mapelli, S. Tubaro, A robust video watermarking technique in the spatial domain, in: proc of the 8th IEEE Int Symposium on Video/Image Processing and Multimedia Communications, June 16–19, 2002, pp. 251–256.

Kang, Jiwu Huang, Yun Q. Shi, Yan Lin, A DWT–DFT composite watermarking scheme robust to both affine transform and JPEG compression, IEEE Transactions on Circuits and System for Video Technology 13 (8) (2003) 776-786.

R.O. Preda, N. Vizireanu, C.C. Oprea, R.M. Udrea, Highly scalable image watermarking in the wavelet domain, European Conference on Visual Perception, ECVP 2008,Utrecht,Olanda,August 2008,pp 122.

S.Hyang, W.J.Liao, A compressed domain image watermarking scheme with the spiht coding , Journal of information science and engineering, vol.26, pp.1755-1770 2010.

Vetterli, M. and J. Kova_evi_, 1995. Wavelets and Subband Coding. Prentice Hall, USA.

Wolfgang, R,C. Podilchuk and E.Delp,1999 “Perceptual Watermarks for Digital Images and Video,” Proc.og the IEEE,vol 87, no. 7, pp: 1108-1126.

Y. Meyer. Oscillating Patterns in Image Processing and Nonlinear Evolution Equations. The Fifteenth Dean Jacqueline B. Lewis Memorial Lectures. Vol. 22 of University Lecture Series, AMS, Providence, 2001.

A. Chambolle. An algorithm for Total Variation Minimization and application. Journal of Mathematical Imaging and vision 20:89-97, 2004.

J.F. Aujol, G. Aubert, L. Blanc-Féraud, and A. Chambolle. Decomposing an image: Application to textured images and SAR images. Rapport technique, Université de Nice Sophia-Antipolis, 2003.

L. A. Vese and S. J. Osher. Modeling textures with total variation minimization and oscillating patterns in image processing. Journal of Scientific Computing, 19(1-3), 2003, pp. 553-572.

S.J. Osher, A. Sole, and L. A. Vese,Image decomposition and restoration using total variation minimization and the H(-1) norm.multiscale modelling and simulation, ASIAM interdisciplinary journal, 1(3): 349-370, 2003.

Hsieh, M., D. Tseng, and Y. Huang, 2001. "Hiding Digital Watermarks Using Multiresolution Wavelet Transform," IEEE Trans. on Industrial Electronics,48(5): 875-882.

Reddy, A. and B. Chatterji, 2005. "A New Wavelet Based Logo-watermarking Scheme," Pattern Recognition Letters, 26(7): 1019-1027.

Wang, S. and Y. Lin, 2004. "Wavelet Tree Quantization for Copyright Protection Watermarking," IEEE Trans. Image Processing,vol. 13, no. 2, pp: 154-164.

Hsu, C. and J. Wu, 1998. "Multiresolution Watermarking for Digital Images," IEEE Trans. On Circuits and Systems- II, 45(8): 1097-1101.

Tay, P. and J. Havlicek, 2002. "Image Watermarking Using Wavelets," in Proc. of the IEEE Midwest Symposium on Circuits and Systems, pp: 258-261, Oklahoma, USA.

Nikolaidis, A. and I. Pitas, 2003. "Asymptotically optimal detection for additive watermarking in the DCT and DWT domains," IEEE Trans. Image Processing , 2(10): 563-571.

Rao, K. and P. Yip. Discrete Cosine Transform:algorithms, advantages, applications. Academic Press, USA, 1990.

Chu, W, 2003. "DCT-Based Image Watermarking Using Subsampling," IEEE Trans. Multimedia,5(1): 34-38.

Lin, S. and C. Chin, 2000. "A Robust DCT-based Watermarking for Copyright Protection," IEEE Trans. Consumer Electronics, 46(3): 415-421.

Deng, F. and B. Wang, 2003. "A novel technique for robust image watermarking in the DCT domain," in Proc. of the IEEE 2003 Int. Conf. on Neural Networks and Signal Processing, vol. 2,pp: 1525-1528.

Wu, C. and W. Hsieh, 2000. "Digital watermarking using zerotree of DCT," IEEE Trans. Consumer Electronics , vol. 46, no. 1, pp: 87-94.

M. N. Do and M. Vetterli, “The contourlet transform: An efficient directional multiresolution image representation,”IEEE Transactions on Image Processing, vol. 14, no. 12, pp.2091–2106, 2005.

Sahraeian, S. M. E., Akhaee, M. A. , Hejazi, S. A. and Marvasti, F. 2008. Contourlet based image watermarking using optimum detector in the noisy environment, IEEE ICIP, pp 429-432.


Refbacks

  • There are currently no refbacks.



Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize