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Reseach Article

Digital Image Watermarking in Robust Feature Region Set

by Seema Malshe, Hitesh Gupta, Mukesh Kumar Baghel
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 55 - Number 16
Year of Publication: 2012
Authors: Seema Malshe, Hitesh Gupta, Mukesh Kumar Baghel
10.5120/8843-3146

Seema Malshe, Hitesh Gupta, Mukesh Kumar Baghel . Digital Image Watermarking in Robust Feature Region Set. International Journal of Computer Applications. 55, 16 ( October 2012), 41-47. DOI=10.5120/8843-3146

@article{ 10.5120/8843-3146,
author = { Seema Malshe, Hitesh Gupta, Mukesh Kumar Baghel },
title = { Digital Image Watermarking in Robust Feature Region Set },
journal = { International Journal of Computer Applications },
issue_date = { October 2012 },
volume = { 55 },
number = { 16 },
month = { October },
year = { 2012 },
issn = { 0975-8887 },
pages = { 41-47 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume55/number16/8843-3146/ },
doi = { 10.5120/8843-3146 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:57:28.095713+05:30
%A Seema Malshe
%A Hitesh Gupta
%A Mukesh Kumar Baghel
%T Digital Image Watermarking in Robust Feature Region Set
%J International Journal of Computer Applications
%@ 0975-8887
%V 55
%N 16
%P 41-47
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Digital image watermarking is widely used for copyright protection of digital information. The effectiveness of a digital watermarking technique is indicated by the robustness of embedded watermarks against various attacks. A new method for watermarking is suggested is feature based watermarking. For getting robust watermark, the watermark should be embedded in silent part of the data and for these significant features of data is used. In this paper few methods of feature extraction as Harris Laplacian, Laplacian-of-Gaussian, Susan, Gilles are applied for feature extraction. Robust Non overlapping regions against different attacks are selected for watermarking. Comparison for robust feature selection is done against different feature extraction methods. In next stage those regions are pruned to get minimal primary feature region set using pruning algorithm and watermark is embedded in selected regions and then again results of extracted watermark is compared against different feature selection methods for robustness.

References
  1. liu quan, jiang xuemei "researches on uniform meaningful watermark?, proceedings of the 2002 6t international conference on signal processing, 2002.
  2. S. Voloshynovskiy, S. Pereira, T. Pun, University of Geneva J. J. Eggers and J. K. Su, University of Erlangen-Nuremberg, Attacks on Digital Watermarks: Classification, Estimation-based Attacks and Benchmarks
  3. Fabien A. P. Petitcolas , Ross J. Anderson, and Markus G. Kuhn "Attacks on Copyright Marking Systems"
  4. STIRMARK bench mark http://www. petitcolas. net/fabien/watermarking/stirmark/
  5. Mrs Neeta Deshpande, Dr. Archana rajurkar, Dr. R. manthalkar Review of Robust Video Watermarking algorithms, (IJCSIS) International Journal of Computer Science and Information Security, Vol. 7, No. 3, March 2010.
  6. K. R. Rao and P. Yip, "Discrete Cosine Transform: Properties, Algorithms, Advantages, Applications"
  7. Chih-Wei Tang and Hsueh-Ming Hang, "A Feature-Based Robust Digital Image Watermarking Scheme", IEEE Transactions on signal processing vol 51, NO. 4, APRIL 2003
  8. Jen-Sheng Tsai, Win-Bin Huang, Chao-Lieh Chen, Yau- Hwang Kuo, "A Feature-Based Digital Image Watermarking For Copyright Protection And Content Authentication "Image Processing,IEEE International Conference 2007
  9. Jen-Sheng Tsai, Win-Bin Huang, and Yau-Hwang Kuo, "On the Selection of Optimal Feature Region Set for Robust Digital Image Watermarking" IEEE Transactions On Image Processing, Vol. 20, No. 3, March 2011
  10. B. J. Lei, Emile A. Hendriks, M. J. T. Reinders "On Featture Exttracttiion ffrom Images" 1999
  11. Timor Kadir, Michael BradySaliency, "Scale and Image Description"
  12. Tinne Tuytelaars and Krystian Mikolajczyk "Local Invariant Feature Detectors: A Survey"
  13. Kristen Grauman and Bastain Leibe "Local Features: Detection and Description"
  14. Stephen m. smith, j. michael brady , "SUSAN—A New Approach to Low Level Image Processing"
  15. Xiang-Yang Wang1;2;¤ Jun Wu1A Feature-based Robust Digital Image Watermarking Against Desynchronization Attacks
Index Terms

Computer Science
Information Sciences

Keywords

Robust Attacks features feature extraction Corner