CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
Reseach Article

A New SVD based Hybrid Color Image Watermarking for Copyright Protection using Contourlet Transform

by C.Venkata Narasimhulu, K.Satya Prasad
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 20 - Number 8
Year of Publication: 2011
Authors: C.Venkata Narasimhulu, K.Satya Prasad
10.5120/2455-3314

C.Venkata Narasimhulu, K.Satya Prasad . A New SVD based Hybrid Color Image Watermarking for Copyright Protection using Contourlet Transform. International Journal of Computer Applications. 20, 8 ( April 2011), 18-27. DOI=10.5120/2455-3314

@article{ 10.5120/2455-3314,
author = { C.Venkata Narasimhulu, K.Satya Prasad },
title = { A New SVD based Hybrid Color Image Watermarking for Copyright Protection using Contourlet Transform },
journal = { International Journal of Computer Applications },
issue_date = { April 2011 },
volume = { 20 },
number = { 8 },
month = { April },
year = { 2011 },
issn = { 0975-8887 },
pages = { 18-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume20/number8/2455-3314/ },
doi = { 10.5120/2455-3314 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:07:16.121172+05:30
%A C.Venkata Narasimhulu
%A K.Satya Prasad
%T A New SVD based Hybrid Color Image Watermarking for Copyright Protection using Contourlet Transform
%J International Journal of Computer Applications
%@ 0975-8887
%V 20
%N 8
%P 18-27
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The authors propose a new hybrid watermarking scheme for copyright protection of color images using contourlet transform and singular value decomposition. The host color image and color watermark images are decomposed into directional sub- bands using contourlet transform and then applied Singular value decomposition to mid frequency sub-band coefficients. The singular values of mid frequency sub-band coefficients of color watermark image are embedded into singular values of mid frequency sub-band coefficients of host color image in Red, Green and Blue color spaces simultaneously based on spread spectrum technique. The experimental results shows that the proposed hybrid watermarking scheme is robust against common image processing operations such as, JPEG, JPEG 2000 compression, cropping, Rotation, histogram equalization, low pass filtering ,median filtering, sharpening, shearing ,salt & Pepper noise, Gaussian noise, grayscale conversion etc. It has also been shown the variation of visual quality of watermarked image for different scaling factors. The comparative analysis reveals that the proposed watermarking scheme out performs the color image watermarking schemes reported recently.

References
  1. C.Venkata Narasimhulu and k.Satya Prasad, “A Novel Robust Watermarking Technique Based on Nonsubsampled Contourlet Transform and SVD”, International journal of Multimedia and its Applications Vol 3, No 1, Feb 2011.
  2. 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.
  3. 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.
  4. M. Jayalakshmi, S. N. Merchant, Uday B. Desai, "Digital Watermarking in Contourlet Domain," ICPR, vol. 3. Pp.861-864, 18th International Conference on Pattern Recognition (ICPR'06) Volume 3, 2006.
  5. 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.
  6. 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.
  7. Das, S.Bandyopadhyay, P.Paul, S.Ray, A.S. Banerjee, M. “A New Introduction towards Invisible Image Watermarking on Color Image” IEEE international advance computing Conferences (IACC2009) 6-7 MARCH 2009.
  8. 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.
  9. Vikas Saxena,J.P.Gupta,”collusion attack resistant watermarking scheme for colored images using DCT” International journal of computer sciences 34:2,IJCS_34_2_02.
  10. keshava S Rawat,Dheerendra s tomar”digital watermarking schemes for authorization against copying or piracy of color images” international journal of computer sciences and engineering vol 1 No 4 2008.
  11. M.Hamad Hassan, S.A.M.gilani”A semi-fragile watermarking scheme for color image authentication “world academy of science Engineering and technology 19 2006.
  12. P.Ramanareddy, M.V.N.K Prasad,D.Sreenivasarao “Robust digital watermarking of color images Under noise attacks “international journal of Recent trends in engineering volume 1,No 1,May 2009.
  13. K.Ramani,E.V.Prasad,V.Lokanadham naidu, D. Ganesh ”color image watermarking using bi-orthogonal wavelet transform” international journal of computer applications volume 11 No 9 Dec 2010.
  14. Ashraf. K. Helmy and GH.S.El-Taweel “Authentication Scheme Based on PrincipalComponent Analysis for Satellite Images” International Journal of Signal Processing, Image Processing and Pattern Recognition Vol. 2, No.3, September 2009.
  15. Matlab 7.6 version, Image Processing Tool Box.
Index Terms

Computer Science
Information Sciences

Keywords

Color image watermarking Contourlet Transform Singular value decomposition Peak signal to noise ratio normalized Correlation coefficient