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LSB Based Lossless Digital Image Watermarking using Polynomials in Spatial Domain for DRM

Published on None 2011 by A. Siva Sankar, T. Jayachandra Prasad, M.N. Giri Prasad
International Conference and Workshop on Emerging Trends in Technology
Foundation of Computer Science USA
ICWET - Number 13
None 2011
Authors: A. Siva Sankar, T. Jayachandra Prasad, M.N. Giri Prasad
40efe8ba-a99e-48ff-be50-2236edf47086

A. Siva Sankar, T. Jayachandra Prasad, M.N. Giri Prasad . LSB Based Lossless Digital Image Watermarking using Polynomials in Spatial Domain for DRM. International Conference and Workshop on Emerging Trends in Technology. ICWET, 13 (None 2011), 18-23.

@article{
author = { A. Siva Sankar, T. Jayachandra Prasad, M.N. Giri Prasad },
title = { LSB Based Lossless Digital Image Watermarking using Polynomials in Spatial Domain for DRM },
journal = { International Conference and Workshop on Emerging Trends in Technology },
issue_date = { None 2011 },
volume = { ICWET },
number = { 13 },
month = { None },
year = { 2011 },
issn = 0975-8887,
pages = { 18-23 },
numpages = 6,
url = { /proceedings/icwet/number13/2162-is140/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference and Workshop on Emerging Trends in Technology
%A A. Siva Sankar
%A T. Jayachandra Prasad
%A M.N. Giri Prasad
%T LSB Based Lossless Digital Image Watermarking using Polynomials in Spatial Domain for DRM
%J International Conference and Workshop on Emerging Trends in Technology
%@ 0975-8887
%V ICWET
%N 13
%P 18-23
%D 2011
%I International Journal of Computer Applications
Abstract

For many years information hiding has captured the imagination of researchers. Digital watermarking and steganography tools are used to address digital rights management, protect information, and conceal secrets. Digital watermark technology insert the information of copyright to the carrier, thus it aims to protect the carrier. The digital watermark is connecting two groups of data: Hidden data and carrier data. In the most situations, the carrier data will be distortion in the hiding process, and it unable to restore the initial state. That is, after even if the hidden body data already has been extracted, but the carrier data has also encountered the permanent distortion. But in certain applications, does not permit to the data pixel's minimum change. For example military remote sensing image, medicine image, high energy physics image, legal evidence and so on sensitive image. In these applications, any pixel's information thought that is very important. It can affect the image to data any revision the confidence level. These applications request to use the most primitive image data. The authors implemented image watermark based on Least Significant Bit Insertion method using Polynomial. The advantages and disadvantages of this method have also been discussed.

References
  1. Chengjun Xu et al, “Digital Rights Management Solutions based on IPTV DRM”, International Conference on Networking and Digital Society, pp.43-46, IEEE 2010.
  2. Ge Xiuhui et al, “Research on Applications of Reversible Digital Watermarking Algorithm”, CSSE’08, pp.810-813, IEEE 2008.
  3. Jiju A.Matthew et al, “Steganography and Covert Communication in Open System Environment”, ART Communication’09, pp.847-849, IEEE 2009.
  4. A. Siva Sankar, Dr.T.Jayachandra Prasad, Dr.M.N.Giri Prasad, “Image Steganography Using Polynomial Equation”, International Journal of Scientific Computing, Vol.4, No.1, pp.25-31, Jan-June 2010.
  5. A. Westfeld and A. Pfitzmann, "Attacks on Steganographic System", Proc. Information Hiding-3 Int'l Workshop in Information Hiding, Springer- Verlag, 1999, pp. 61-76.
Index Terms

Computer Science
Information Sciences

Keywords

DRM Watermarking LSB Polynomial