We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 November 2024
Call for Paper
December Edition
IJCA solicits high quality original research papers for the upcoming December edition of the journal. The last date of research paper submission is 20 November 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Robust Color Image Watermarking Technique based on DWT and ICA

by P. Mangaiyarkarasi, S. Arulselvi
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 44 - Number 23
Year of Publication: 2012
Authors: P. Mangaiyarkarasi, S. Arulselvi
10.5120/6425-8704

P. Mangaiyarkarasi, S. Arulselvi . Robust Color Image Watermarking Technique based on DWT and ICA. International Journal of Computer Applications. 44, 23 ( April 2012), 6-12. DOI=10.5120/6425-8704

@article{ 10.5120/6425-8704,
author = { P. Mangaiyarkarasi, S. Arulselvi },
title = { Robust Color Image Watermarking Technique based on DWT and ICA },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 44 },
number = { 23 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 6-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume44/number23/6425-8704/ },
doi = { 10.5120/6425-8704 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:36:18.532109+05:30
%A P. Mangaiyarkarasi
%A S. Arulselvi
%T Robust Color Image Watermarking Technique based on DWT and ICA
%J International Journal of Computer Applications
%@ 0975-8887
%V 44
%N 23
%P 6-12
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, a robust, imperceptible and blind color image watermarking technique based on discrete wavelet transform (DWT) is proposed. The proposed embedding technique is based on computation of noise visibility function (NVF), where the strength of watermarking is controlled which results in watermarks at texture and edge areas are stronger than flat areas. For extraction, conventional techniques need embedding parameters such as strength, location and information about watermark or original image. In this work, an intelligent detection technique, namely, independent component analysis (ICA) is implemented for watermark extraction without the use of original image. The features of FastICA are quick convergence, easy to implement and suitable for watermark applications. The quality of watermarked image and extracted watermark are measured in terms of peak signal to noise ratio (PSNR) and similarity measure (SM) values respectively. Robustness of the proposed scheme is validated against various image processing attacks.

References
  1. Xia X. , Boncelet C. G. , and Arce G. R. 1997. A multiresolution watermark for digital images. In Proceedings of the 4th IEEE International Conference on Image Processing.
  2. Rafael C. G. , and Richard E. W. Digital Image Processing. Second Edition. Pearson Education.
  3. Mangaiyarkarasi P. , and Arulselvi S. 2012. Improved performance by parametrizing wavelet filters for digital image watermarking. Signal & Image Processing: An International Journal, vol. 3, no. 1, pp. 29-38.
  4. Hsu C. T. , and Wu J. L. 1998. DCT based watermarking for video. IEEE Transactions on Consumer Electronics, vol. 44, no. 1, pp. 206-216.
  5. Wu C. F. , and Hsieh W. S. 2000. Digital watermarks using zerotree of DCT. IEEE Transactions on Consumer Electronics, vol. 46, no. 1, pp. 87-94.
  6. Kundur D. , and Hatzinakos D. 1998. Digital watermarking using multiresolution wavelet decomposition. In Proceedings of the IEEE Int. Conf. on Acoustics, Speech and Signal Processing .
  7. Wang H. J. M. , Su P. C. , and Kuo C. C. J. 1998. Wavelet-based digital image watermarking. J. Opt. Express, vol. 4, pp. 491-496.
  8. Hien T. D. , Nakao Z. , and Chen Y. M. 2004. ICA-based robust logo image watermarking. In Proceedings of SPIE, Security, Steganography and Watermarking of Multimedia Contents.
  9. Bounkong S. , Toch B. , Saad D. , and Lowe D. 2003. ICA for watermarking digital images. J. Mach. Learn. Res. Special issue on ICA, 1471-1498.
  10. Thirugnanam G. , Natarajan M. , Mangaiyarkarasi P. , and Malmurugan N. 2009. Comparison of independent component analysis for DWT based digital image watermarking. International Journal of Advance Research in Computer Engineering, vol. 3, no. 1, pp. 165-169.
  11. Cox I . J, Miller M. L. , Bloom J. A. , Fridrich J. , and Kalkar T. Digital watermarking and steganography Second Edition, Morgan Kaufmann Publishers.
  12. Joo S. , Suh Y. , Shin JKikuch H. , and Cho S. J. 2002. A new robust watermark embedding into wavelet DC components. J. ETRI. 401-404.
  13. Baisa L. G. , and Suresh N. M. 2011. Secured color image watermarking technique in DWT-DCT domain. Interrnational Journal of Computer Science and Information Technology, vol. 1, no. 3, pp. 36-44.
  14. Voloshynovskiy S. , Herrigel A. , Baumgaertner N. , and Pun T. 2000. A stochastic approach to content adaptive digital image watermarking. Lecture notes in Computer Science, pp. 212-236.
  15. Ramana Reddy P. , Prasad V. N. K. , and Sreenivasa Rao D. 2009. Robust digital watermarking of color images under noise attacks. International Journal of Recent Trends in Engineering, vol. 1, no. 1, pp. 364-338.
  16. Hyvarinen A. , Karhunen J. , and Oja E. Independent Component Analysis. First Edition, John Wiley & Sons. Inc.
Index Terms

Computer Science
Information Sciences

Keywords

Color Image Watermarking Discrete Wavelet Transform Noise Visibility Function Independent Component Analysis

Powered by PhDFocusTM