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 Variance based Approach (VBA) Digital Watermarking in Frequency Domain and Comparative Analysis using Walsh and Hadamard transform

by H. M. Khalid Raihan Bhuyan, Mriganka Gogoi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 163 - Number 9
Year of Publication: 2017
Authors: H. M. Khalid Raihan Bhuyan, Mriganka Gogoi
10.5120/ijca2017913725

H. M. Khalid Raihan Bhuyan, Mriganka Gogoi . A Variance based Approach (VBA) Digital Watermarking in Frequency Domain and Comparative Analysis using Walsh and Hadamard transform. International Journal of Computer Applications. 163, 9 ( Apr 2017), 1-5. DOI=10.5120/ijca2017913725

@article{ 10.5120/ijca2017913725,
author = { H. M. Khalid Raihan Bhuyan, Mriganka Gogoi },
title = { A Variance based Approach (VBA) Digital Watermarking in Frequency Domain and Comparative Analysis using Walsh and Hadamard transform },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2017 },
volume = { 163 },
number = { 9 },
month = { Apr },
year = { 2017 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume163/number9/27420-2017913725/ },
doi = { 10.5120/ijca2017913725 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:09:42.125653+05:30
%A H. M. Khalid Raihan Bhuyan
%A Mriganka Gogoi
%T A Variance based Approach (VBA) Digital Watermarking in Frequency Domain and Comparative Analysis using Walsh and Hadamard transform
%J International Journal of Computer Applications
%@ 0975-8887
%V 163
%N 9
%P 1-5
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The paper introduces a Digital Image Watermarking technique based on Transform domain. The purpose of doing the watermarking in transform domain is to give more robustness in the watermarking process looking into its fast real time implementation and also the computational complexity which comes often in the implementation process. In the proposed algorithm, a binary watermark is embedded in a grayscale image(cover image). The cover image is segregated into blocks of high and low variances. The cover image is transformed into frequency domain and comparative higher variance blocks are considered for embedding the binary watermark. Integer portion of the transformed DC co-efficients of the considered blocks undergoes binary conversion and binary bits of watermark are embedded in those co-efficients. Both Walsh Transform and Walsh Hadamard transform are used for frequency domain conversion of the image and to make a comparative study as well. Software simulation of the algorithm is done using MATLAB

References
  1. Ingemar J. Cox, Joe Kilian, Tom Leighton and Talal Shamoon, Secure Spread Spectrum Watermarking for Multimedia, IEEE Trans. on Image Processing, 6, 12, 1673-1687, (1997). Page 1-31
  2. Hesham A. El Zouka, Computer Engineering Department, Arab Academy for Science and Technology, Alexandria – Egypt, FPGA Based Implementation of Robust Watermarking System, Fifth International Conference on Information Technology: New Generations, Pages 1-5
  3. Mriganka Gogoi, H.M.Khalid Raihan Bhuyan, Koushik Mahanta, Dibya Jyoti Das, Ankita Dutta Image and Video based double watermark extraction spread spectrum watermarking in low variance region, International Journal of Advanced Computer Science and Applications Vol.4, No. 6, 2013
  4. Abhishek Basu, Tirtha Sankar Das, Somnath Maiti, Nurul Islam and Subir Kumar Sarkar, FPGA Based Implementation of Robust Spatial Domain Image Watermarking Algorithm, International Conference on Computers and Devices for Communication,2009, Page 1-4
  5. Amit M Joshi, Anand Darji and Vivekanand Mishra, Electronics Department, SVNIT, Surat, India, Design and Implementation of Real-Time Image Watermarking, Page 1-5
  6. Ravi Shah, Abhinav Agarwal and Subramaniam Ganesan, Department of Computer Science and Engineering, Oakland University, MI-48309, Frequency Domain Real Time Digital Image Watermarking, Page 1-6
  7. Kishan Chand Gupta and Palash Sarkar, Computing Partial Walsh Transform From the Algebraic Normal Form of a Boolean Function, IEEE Transactions on Information Theory, Vol. 55, No. 3, March 2009, Pages 1-6
  8. B.J. Falkowski and S. Yan, Hybrid multi-polarity arithmetic–Walsh transform, IEEE Proc.-Circuits Devices Syst., Vol. 153, No. 6, December 2006, Pages 1-8
  9. Fu Jun and Wang Shou-huai, An adaptive spread spectrum watermarking algorithm based on Orthogonal Walsh codes, Pages 1-3
  10. Patrick Gaydecki, Kamal A. Ahmed and Hussain Al Ahmad, A Blind Block Based DCT Watermarking Technique for Gray Level Images Using One Dimensional Walsh Coding, Pages 1-5
  11. D.Sasikala and R.Neelaveni, Correlation Coefficient For Registration Of Monomodal Brain Images Using Fast Walsh Hadamard Transform, ICCCCT’10, Pages 1-6
  12. Patrick Gaydecki, Kamal A. Ahmed and Hussain Al Ahmad, A Blind Block Based DCT Watermarking Technique for Gray Level Images Using One Dimensional Walsh Coding, Pages 1-5
  13. Koushik Mahanta, Dibya Jyoti Das, H. M. Khalid Raihan Bhuyan, Ankita Dutta, Mriganka Gogoi, Design and implementation of an MSI number based image watermarking architecture in transform domain, 2014 International Conference on Signal Processing and Integrated Networks (SPIN). 2014; p. 157-63.
  14. Fu Jun and Wang Shou-huai, An adaptive spread spectrum watermarking algorithm based on Orthogonal Walsh codes, Pages 1-3
  15. Zulfikar, Shuja A. Abbasi and A. R. M. Alamoud, A Novel Complete Set of Walsh and Inverse Walsh Transforms for Signal Processing, International Conference on Communication Systems and Network Technologies 2011, Pages 1-6
  16. Kamal A. Ahmed, Hussain Al-Ahmad and Patrick Gaydecki, Robust Image Watermarking Using Two Dimensional Walsh Coding, Pages 1-5
  17. Sivavenkateswara Rao . V., Rajendra S. Shekhawat and V. K. Srivastava, A DWT-DCT-SVD Based Digital Image Watermarking Scheme Using Particle Swarm Optimization, IEEE Students’ Conference on Electrical, Electronics and Computer Science 2012, Pages 1-4
  18. Zhe-Ming Lu, Hans Burkhardt and Shu-Chuan Chu, Multipurpose Image Watermarking Algorithms and Applications, Studies in Computational Intelligence (SCI) 58, 287-323 (2007),Pages 287-288
Index Terms

Computer Science
Information Sciences

Keywords

VARIANCE WALSH HADAMARD VERILOG