CFP last date
20 January 2025
Reseach Article

Novel Image Watermarking Algorithm with DWT-SVD

by N. Anil Kumar, M. Haribabu, Ch. Hima Bindu
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 106 - Number 1
Year of Publication: 2014
Authors: N. Anil Kumar, M. Haribabu, Ch. Hima Bindu
10.5120/18483-9541

N. Anil Kumar, M. Haribabu, Ch. Hima Bindu . Novel Image Watermarking Algorithm with DWT-SVD. International Journal of Computer Applications. 106, 1 ( November 2014), 12-17. DOI=10.5120/18483-9541

@article{ 10.5120/18483-9541,
author = { N. Anil Kumar, M. Haribabu, Ch. Hima Bindu },
title = { Novel Image Watermarking Algorithm with DWT-SVD },
journal = { International Journal of Computer Applications },
issue_date = { November 2014 },
volume = { 106 },
number = { 1 },
month = { November },
year = { 2014 },
issn = { 0975-8887 },
pages = { 12-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume106/number1/18483-9541/ },
doi = { 10.5120/18483-9541 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:38:14.534715+05:30
%A N. Anil Kumar
%A M. Haribabu
%A Ch. Hima Bindu
%T Novel Image Watermarking Algorithm with DWT-SVD
%J International Journal of Computer Applications
%@ 0975-8887
%V 106
%N 1
%P 12-17
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents a novel watermarking scheme based on Discrete Wavelet Transforms and Singular Value Decomposition. The singular values of HL band is going to embedded with watermark singular values making use of scaling factor (?). The effectiveness of the proposed algorithm is measured using peak signal to noise ratio (PSNR), structural similarity index(SSIM) and normalized correlation (NC) factors. The robustness of the proposed algorithm is tested by performing various attacks like Salt & Pepper noise, Gaussian noise and rotation etc on watermarked image. The experimental results show both the robustness and high fidelity of the algorithm.

References
  1. H. Luo, F. Yu, Z. L. Huang, Z. M. Lu, "Blind image watermarking based on discrete fractional random transform and sub sampling", Optik 122 (2011), 311–316.
  2. D. C. Lou, H. K. Tso, J. L. Liu, "A copyright protection scheme for digital images using visual cryptography technique", Comput. Stand. Interfaces 29 (2007)125–131.
  3. Qingtang Su, Yugang Niu, Qingjun Wang, Guorui Sheng, "A blind color image watermarking based on DC component in the spatial domain", Optik 124(2013), 6255-6260.
  4. C. C. Lai, A digital watermarking scheme based on singular value decomposition and tiny genetic algorithm, Digit Signal Process. 21 (2011) 522–527.
  5. X. Y. Luo, D. S. Wang, P. Wang, F. L. Liu, "A review on blind detection for image Steganography", Signal Process. 88 (2008) 2138–2157.
  6. T. K. Tsui, X. P. Zhang, D. Androutsos, Color image watermarking using multidimensional Fourier transforms, IEEE Trans. Inform. Forensics Secur. 3 (2008) 16–28.
  7. Qingtang Su, Yugang Niu, Xianxi Liu, Tao Yao, "A novel blind digital watermarking algorithm for embedding color image into color image" Optik 124(2013), 3254-3259.
  8. R. Liu, T. Tan, An SVD-based watermarking scheme for protecting rightful ownership, IEEE Trans. Multimed. 4 (2002) 121–128.
  9. Shao-li Ji, "A novel blind color images watermarking based on SVD", Optik 125 (2014) 2868-2874.
  10. Yong Yang, Dong Sun Park, and Shuying Huang. "Medical Image Fusion via an Effective Wavelet Based Approach".
  11. A. Ranade, S. S. Mahabalarao, S. Kale, A variation on SVD based image compression, Image Vision Comput. 25 (6) (2007) 771–777.
  12. R. Z. Liu, T. N. Tan, An SVD-based watermarking scheme for protecting rightful ownership, IEEE Trans. Multimedia 4 (1) (2002) 121–128.
  13. M. Narwaria, W. Lin, SVD-based quality metric for image and video using machine learning, IEEE Trans. Syst. Man Cybern. B Cybern. 42 (2) (2012) 347– 364.
  14. seema,sheetal sharma, "DWT-SVD based efficient image watermarking algorithm to achieve high robustness and perceptual quality", ijarcsse, vol 2, issue 4, april 2012.
  15. Deepa Mathew k "svd based image watermarking scheme",ijcaecot 2010.
  16. D. Kahaner, C. Moler and S. Nash, Numerical Methods and Software (New Jersey: Prentice-Hall, Inc, 1989).
  17. U. M. Gokhale, Y. V. Joshi" A New Watermarking Algorithm Based on Image Scrambling and SVD in the Wavelet Domain" ACEEE Int. J. on Network Security , Vol. 02, No. 03, July 2011 © 2011 ACEEE DOI: 01. IJNS. 02. 03. 141
  18. Navnidhi Chaturvedi Dr S. J. Basha "A Novel SVD based Digital Watermarking Scheme using DWT and A comparative study with DWT-Arnold, SVD-DCT and SVD-DFT based watermarking", ijdacr Volume 1, Issue 4, November 2012.
  19. Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, "Image quality assessment: From error visibility to structural similarity," IEEE Trans. Image Processing,vol. 13, pp. 600–612, Apr 2004.
  20. Zhou Wang,Alan C. Bovik and Hamid R. Sheikh " "Structural similarity Based Range Image Quality Assessment", Digital Video image quality and perceptual coding, Nov 2005.
  21. Neha K. Kothadiya , Udesang K. Jaliya , Vikram M. Agrawal "Image Fusion Based on Consistency Checking and Salience Match Measure", (IJETT) - Volume4Issue4- April 2013.
  22. R. Navaneethakrishnan "Robust Gray scale Watermarking Based on TwoLevels of DCT and SVD", ISRJournals and Publications Volume: 3 Issue: 1 26-Jun-2014.
Index Terms

Computer Science
Information Sciences

Keywords

Discrete Wavelet Transform Singular Value Decomposition Quality metrics.