DISCRETE WAVELET BASED IMAGE WATERMARKING: AN IDEA LEADS TO SECURITY

Keshav S. Rawat¹*, Sachin Goyal²*, Roopam Gupta³*
¹School of Information Technology, UTD, RGPV, Bhpal, India
²Department of Information Technology, UIT, RGPV, Bhopal, India
³Department of Information Technology, UIT, RGPV, Bhopal, India
* Corresponding Author : roopam@rgtu.net

Received : -     Accepted : -     Published : 15-06-2010
Volume : 1     Issue : 1       Pages : 6 - 10
J Biometrics 1.1 (2010):6-10

Digital watermarking is a multimedia technique recently developed with the purpose of enhancing copyright protection on multimedia files. Watermarking techniques consider multimedia data as a communication channel transmitting owner identification or content integrity information. This paper presents the literature survey on digital watermark features, its classifications and implementation. Various watermarking techniques have been studied in detail in mainly three domains: spatial, discrete cosine transform (DCT) and wavelet (DWT) domain. The work then proceeds with the implementation of basic algorithms for embedding and extraction of watermark in all the domains. In spatial domain, LSB modification algorithm has been implemented and the results have been produced for grayscale, RGB and YCbCr color domains. For DCT domain, block based approach and for wavelet domain, multi-level wavelet transformation technique and CDMA based approaches is implemented. Resultant watermarked image and extracted watermark for all the approaches are presented in the paper.

[1] Petitcolas F. A. P., Anderson R.J. and Kuhn M. G. (1999) Proceedings of the IEEE, Volume 87, Issue 7, 1062-1078.  
» CrossRef   » Google Scholar   » PubMed   » DOAJ   » CAS   » Scopus  

[2] Hartung F. and Kutter M. (1999) Proceedings of the IEEE, Volume 87, Issue7, 1079-1107  
» CrossRef   » Google Scholar   » PubMed   » DOAJ   » CAS   » Scopus  

[3] Hartung F., Kutter M., Stefan Katzenbeisser and Fabien A. P. Petitcolas, (2000) Information Hiding Techniques for Steganography and Digital watermarking, Artech House  
» CrossRef   » Google Scholar   » PubMed   » DOAJ   » CAS   » Scopus  

[4] Juergen Seitz (2005) Digital Watermarking for Digital Media, Information Science Publishing  
» CrossRef   » Google Scholar   » PubMed   » DOAJ   » CAS   » Scopus  

[5] Michael Weeks (2006) Digital Signal Processing Using MATLAB and Wavelets, Infinity Science Press.  
» CrossRef   » Google Scholar   » PubMed   » DOAJ   » CAS   » Scopus  

[6] Langelaar G., Setyawan I. and Lagendijk R. L. (2000) IEEE Signal Processing Magazine, Number 17, 20-43  
» CrossRef   » Google Scholar   » PubMed   » DOAJ   » CAS   » Scopus  

[7] Stephane Jaffard, Yves Meyer and Robert D. Ryan (2001) Wavelets Tools for Science and Technology, Society for Industrial and Applied Mathematics (SIAM).  
» CrossRef   » Google Scholar   » PubMed   » DOAJ   » CAS   » Scopus  

[8] Stephane Mallat (1989) IEEE Pattern Analysis and Machine Intelligence, Volume 11,Number 7, 674-693.  
» CrossRef   » Google Scholar   » PubMed   » DOAJ   » CAS   » Scopus  

[9] [10] Evelyn Brannock, Michael Weeks, Robert Harrison, Computer Science Department Georgia State University ” Watermarking withWavelets: Simplicity Leads to Robustness”.  
» CrossRef   » Google Scholar   » PubMed   » DOAJ   » CAS   » Scopus  

[10] Goudarzi M. M., Taheri A. and Pooyan M. (2004) Trans. Engin., Computing and Tech., vol. 2, pp. 241-244.  
» CrossRef   » Google Scholar   » PubMed   » DOAJ   » CAS   » Scopus  

[11] Strela V. (1996) Multiwavelets: Theory and Application, Ph.D. Thesis,Massachusetts Institute of Technology, United States  
» CrossRef   » Google Scholar   » PubMed   » DOAJ   » CAS   » Scopus