CFP last date
20 December 2024
Reseach Article

A Comparative performance evaluation of SVD and Schur Decompositions for Image Watermarking

Published on None 2011 by B.Chandra Mohan, K.Veera Swamy, S.Srinivas Kumar
International Conference on VLSI, Communication & Instrumentation
Foundation of Computer Science USA
ICVCI - Number 14
None 2011
Authors: B.Chandra Mohan, K.Veera Swamy, S.Srinivas Kumar
e2f284d1-efee-4fba-8574-c9961743c908

B.Chandra Mohan, K.Veera Swamy, S.Srinivas Kumar . A Comparative performance evaluation of SVD and Schur Decompositions for Image Watermarking. International Conference on VLSI, Communication & Instrumentation. ICVCI, 14 (None 2011), 25-29.

@article{
author = { B.Chandra Mohan, K.Veera Swamy, S.Srinivas Kumar },
title = { A Comparative performance evaluation of SVD and Schur Decompositions for Image Watermarking },
journal = { International Conference on VLSI, Communication & Instrumentation },
issue_date = { None 2011 },
volume = { ICVCI },
number = { 14 },
month = { None },
year = { 2011 },
issn = 0975-8887,
pages = { 25-29 },
numpages = 5,
url = { /proceedings/icvci/number14/2735-1529/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on VLSI, Communication & Instrumentation
%A B.Chandra Mohan
%A K.Veera Swamy
%A S.Srinivas Kumar
%T A Comparative performance evaluation of SVD and Schur Decompositions for Image Watermarking
%J International Conference on VLSI, Communication & Instrumentation
%@ 0975-8887
%V ICVCI
%N 14
%P 25-29
%D 2011
%I International Journal of Computer Applications
Abstract

In this paper, the performance of SVD and Schur decomposition is evaluated and compared for image copyright protection applications. The watermark image is embedded in the cover image by using Quantization Index Modulus Modulation (QIMM) and Quantization Index Modulation (QIM). Watermark image is embedded in the D matrix of Schur decomposition and Singular Value Decomposition (SVD). Watermarking in SVD domain is highly flexible . This is due to the availability of three matrices for watermarking. Singular values in SVD and Schur decomposition are highly stable. Compared to Singular Value Decomposition (SVD), Schur decomposition is computationally faster and robust to image attacks. The proposed algorithms based on SVD and Schur decompositions are more secure and robust to various attacks, viz., rotation, low pass filtering, median filtering, resizing, salt & pepper noise. Superior experimental results are observed with the proposed algorithm over a recent scheme proposed by Chung et al. in terms of Normalized Cross correlation (NCC) and Peak Signal to Noise Ratio (PSNR).

References
  1. Chu, W.C., 2003. DCT based image watermarking using sub sampling, IEEE Transactions Multimedia, pp.34-38.
  2. Wang, Y., Alan Pearmain., 2004. Blind image data hiding based on self reference. Pattern Recognition Letters 25, pp. 1681-1689.
  3. Barni, M., Bartolini, M., Piva, F.V., 2001. Improved wavelet based watermarking through pixel-wise masking. IEEE Transactions on Image Processing 10, pp. 783-791.
  4. Lee, C., Lee, H., 2005. Geometric attack resistant watermarking in wavelet transform domain, Optics Express vol.13, no.4, pp.1307-1321.
  5. Chandra Mohan B, Srinivas Kumar S, Chatterjee B.N.,2006. Digital Image watermarking in dual domains at IET Visual Information Engineering, VIE 2006 at Leela Palace, Bangalore, 26-28th September 2006.
  6. Srinivas Kumar S, Chandra Mohan B, Chatterjee B.N., 2007. An oblivious image watermarking scheme using singular value decomposition. IASTED, International conference on Signal and Image Processing, at Honolulu, Hawaii, USA, August 20-22.
  7. Yongdong, Wu, 2005. On the Security of an SVD based ownership watermarking. IEEE transactions on Multimedia, vol 7. no.4.
  8. K.L.Chung, W.N.Yang,Y.H.Huang, S.T.Wu, and Y.C.Hsu, “On SVD-based watermarking algorithm”, Applied Mathematics and Computation, Vol.188, 2007, pp.54-57
  9. B.Chandra Mohan, S.S. Kumar, “Robust digital watermarking scheme using contourlet transform”, International Journal of Computer Science and Network Security (IJCSNS), Vol.8, Issue 2, 2008, pp.43-51.
  10. Chandramouli,R.,Graubard Benjamin, M., Richmond Colin, R., 2001. A multiple description framework for oblivious watermarking. Proceeding of Security and Watermarking and Multimedia contents III, SPIE vol. 4314.
  11. Chen, B., Wornell, G.W., 1998. Digital watermarking and information embedding using dither modulation. Proceedings of the IEEE workshop on Multimedia Signal Processing(MMSP-98), Redondo Beach, CA, December.
Index Terms

Computer Science
Information Sciences

Keywords

Digital Image Watermarking Schur Decomposition SVD PSNR NCC