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Digital Image Watermarking Technique using High Frequency Band based on Discrete Wavelet Transform and Singular Value Decomposition

by Ramandeep Kaur, Sonika Jindal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 89 - Number 19
Year of Publication: 2014
Authors: Ramandeep Kaur, Sonika Jindal
10.5120/15736-3475

Ramandeep Kaur, Sonika Jindal . Digital Image Watermarking Technique using High Frequency Band based on Discrete Wavelet Transform and Singular Value Decomposition. International Journal of Computer Applications. 89, 19 ( March 2014), 1-3. DOI=10.5120/15736-3475

@article{ 10.5120/15736-3475,
author = { Ramandeep Kaur, Sonika Jindal },
title = { Digital Image Watermarking Technique using High Frequency Band based on Discrete Wavelet Transform and Singular Value Decomposition },
journal = { International Journal of Computer Applications },
issue_date = { March 2014 },
volume = { 89 },
number = { 19 },
month = { March },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-3 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume89/number19/15736-3475/ },
doi = { 10.5120/15736-3475 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:09:38.475841+05:30
%A Ramandeep Kaur
%A Sonika Jindal
%T Digital Image Watermarking Technique using High Frequency Band based on Discrete Wavelet Transform and Singular Value Decomposition
%J International Journal of Computer Applications
%@ 0975-8887
%V 89
%N 19
%P 1-3
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Fast growth in digital media, digital data (such as image, video, audio or text) are stored, transmitted and distributed through internet without any loss or damage of content. Digital image watermarking is use to protect data from manipulations. Watermarking not only allow user to access, view and interpret the image but also protects the ownership of the content, as protection is an important crucial area. In this paper, a new digital composite image watermarking algorithm based on DWT-SVD that is robust against various attacks is proposed. We obtained four different frequency images using DWT and IDWT transform. Watermark is embedded in high frequency sub-band by modifying the singular value of image. Scaling factor is also used to improve the results. The experimental results demonstrate that new proposed algorithm withstand under different attacks.

References
  1. Langelaar, G. C. , Setyawan, I. , Lagendijk, R. I. , 2000. "Watermarking digital image and video data", IEEE Signal Process. Magazine (September), 20–46.
  2. Ganic E, Eskicioglu AM. ,"Robust embedding of visual watermarks using DWT-SVD" Journal of Electronic Imaging 2005;14(4).
  3. Bhatnagar Gaurav, Raman Balasubramanian. "A new robust reference logo watermarking scheme",Multimedia Tools and Applications 2011;52(2):621e40.
  4. Li Q, Yuan C, Zong YZ. "Adaptive DWT-SVD domain image watermarking using human visual model", In: Proceedings of IEEE International Conference on Advanced Communication Technology (ICACT-2007), vol. 3; 2007. pp. 1947e51.
  5. K. Bhagyashri and Joshi M. Y. ,"Robust Image Watermarking based on Singular Value Decomposition and Discrete Wavelet Transform", Nanded ©2010 IEEE.
  6. Ramandeep Kaur and Sonika Jindal, "Semi Blind Image Watermarking Using High Frequency Band Based on DWT-SVD", Sixth International Conference on Emerging Trends in Engineering and Technology (ICETET 2013) Nagpur, December 2013, pp 19 - 24.
Index Terms

Computer Science
Information Sciences

Keywords

Discrete Wavelet Transform Inverse Discrete Wavelet Transform Singular Value Decomposition Digital Image Watermarking Poisson Signal to Noise Ratio Mean Square Error Correlation Coefficient.

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