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Reseach Article

A Robust Watermarking Technique based on Nonsubsampled Contourlet Transform and SVD

by C.Venkata Narasimhulu, K.Satya Prasad
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 16 - Number 8
Year of Publication: 2011
Authors: C.Venkata Narasimhulu, K.Satya Prasad
10.5120/2032-2642

C.Venkata Narasimhulu, K.Satya Prasad . A Robust Watermarking Technique based on Nonsubsampled Contourlet Transform and SVD. International Journal of Computer Applications. 16, 8 ( February 2011), 27-36. DOI=10.5120/2032-2642

@article{ 10.5120/2032-2642,
author = { C.Venkata Narasimhulu, K.Satya Prasad },
title = { A Robust Watermarking Technique based on Nonsubsampled Contourlet Transform and SVD },
journal = { International Journal of Computer Applications },
issue_date = { February 2011 },
volume = { 16 },
number = { 8 },
month = { February },
year = { 2011 },
issn = { 0975-8887 },
pages = { 27-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume16/number8/2032-2642/ },
doi = { 10.5120/2032-2642 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:04:22.360347+05:30
%A C.Venkata Narasimhulu
%A K.Satya Prasad
%T A Robust Watermarking Technique based on Nonsubsampled Contourlet Transform and SVD
%J International Journal of Computer Applications
%@ 0975-8887
%V 16
%N 8
%P 27-36
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The paper proposes a novel robust watermarking technique based on newly introduced Nonsubsampled contourlet transform(NSCT) and singular value decomposition(SVD) for multimedia copyright protection. The NSCT can give the asymptotic optimal representation of the edges and contours in image by virtue of the characteristics of good multi resolution shift invariance and multi directionality. After decomposing the host image into sub bands, we choose the low frequency directional sub band and apply singular value decomposition. The singular values of the original image are then modified by the singular values of nonsubsampled contourlet transformed visual grayscale logo watermark image. This hybrid approach improves the performance of the watermarking technique compared to earlier techniques. Experimental results shows that the hybrid technique is resilient to various linear and non linear filtering ,JPEG compression, JPEG2000 compression, Histogram equalization, Grayscale inversion, Contrast adjustment, gamma correction, alpha mean ,cropping ,Gaussian noise, scaling etc.

References
  1. Santi P.Maity, Prasun Nandy, Tirtha S.Das and Maly K.Kundu, “Robust image watermarking using multiresolution analysis”, IEEE INDIA Annual Conference 2004,INDICON 2004
  2. Emir Ganic and ahmet M. Eskicioglu “ Robust embedding of visual watermarks using discrete wavelet transform and singular value decomposition Journal. Of Electron. Imaging, Vol. 14, 043004 (2005); doi:10.1117/1.2137650 Published 12 December 2005
  3. Alexander Sverdlov, Scott Dexter and Ahmet M.Eskicioglu “Robust DCT_SVD domain image Watermarking for copyright protection: embedding data in all frequencies”.
  4. C.Venkata Narasimhulu and K.Satya Prasad, “A hybrid watermarking scheme using contourlet Transform and Singular value decomposition” IJCSNS: International Journal of Computer Science and Network Security, Vol.10,No.9, September 2010.
  5. Minh N. Do, and Martin Vetterli, “The Contourlet Transform: An Efficient Directional Multiresolution Image Representation” IEEE transaction on image processing,vol 14,issue no 12,pp 2091-2106,Dec 2005
  6. Elham salahi ,M.Shahram Moin and Ahmad salahi “A new Visually Imperceptible and Robust Image Water marking Scheme in contourlet Domain” International conference on intelligent information hiding and multimedia signal processing,2008.
  7. Jianping Zhou; Cunha, A.L, M.N.Do, “Nonsubsampled contourlet transform construction and application in enhancement” IEEE Trans. Image Proc Sept. 2005.
  8. Arthur L. Cunha, J. Zhou, and M. N. Do, “Nonsubsampled contourlet transform: filter design and applications in denoising” IEEE international conference on image processing, September 2005.
  9. V.I.Gorodetski L.J.Popyack, and V.Samoilov, “SVD-based approach to transparent embedding data into digital images,” in proc. int. workshop, MMM-ACNS, St.Peterburg, Russia, May 2001,pp.263-274.10. R.Liu and T.Tan, “An SVD-Based Watermarking scheme for protecting rightful ownership,” IEEE Trans. Multimedia, vol.4, no.1, pp.121-128, Mar.2002.
  10. Paul Bao and Xiaohu Ma “Image adaptive watermarking using wavelet domain singular value decomposition” IEEE Transaction on circuit and system for video technology, vol.15, no.1, January 2005.
  11. A. L. Cunha, J. Zhou, and M. N. Do, “The Nonsubsampled contourlet transform: theory, design and applications,” IEEE Trans. Image Proc., May 2005.
  12. A. L. Cunha, J. Zhou, and M. N. Do, “The Nonsubsampled contourlet transform: theory, design and applications,” IEEE Trans. Image Proc., vol.15, no.10, October 2006.
  13. Xiang Yang Wang, Yi-Ping Yang and Hong-Ying Yang, “A novel nonsubsampled contourlet domain Image watermarking using Support Vector Regression”, Journal of Optics: A Pure and Applied Optics, September 2009.
  14. M.J.Shensha,”The discrete Wavelet Transform: Wedding the A Trous and Mallat algorithms”, IEEE Trans, vol 40, no 10, Pp.2464-2482, Oct 1992.
  15. R.H.Bamberger and M.J.T.S,ith. “Afilter bank for the directional decomposition of images: Theory and Design”, IEEE Trans .Signal Processing vol.40,no.4,pp.882-893 ,Apr 1992
  16. B.Chandra Mohan and S.Srinivas Kumar “A Robust Image watermarking scheme using Singular value decomposition” Journal of Multimedia,Vol3,NO:1,May 2008.
  17. Ke-Feng He,Jun Gao,Liang-Mei Hu, “Watermarking for images using the HVS and SVD in the Wavelet Domain”, Procedings fo 2006 IEEE International on Mechatronics and Automation June 25 to 28,2006, Luoyang,Chaina.
  18. Salwa A.K.Mostafa, A.S.Tolba, F.M.Abdelkader, Hisham M.Elhindy, “Video Watermarking Scheme based on Principal Component Analysis and Wavelet Transform”, IJCSNS: International Journal of Computer Science and Network Security, Volume9, No: 8, August 2009.
  19. Ashraf. K. Helmy and GH.S.El-Taweel “Authentication Scheme Based on Principal Component Analysis for Satellite Images” International Journal of Signal Processing, Image Processing and Pattern Recognition Vol. 2, No.3, September 2009.
  20. Matlab 7.6 version ,Image Processing Tool Box.
Index Terms

Computer Science
Information Sciences

Keywords

Image watermarking nonsubsampled contourlet transform SVD visual watermark logo