Digital Image Watermarking Technique using High Frequency Band based on Discrete Wavelet Transform and Singular Value Decomposition
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10.5120/15736-3475 |
Ramandeep Kaur and Sonika Jindal. Article: Digital Image Watermarking Technique using High Frequency Band based on Discrete Wavelet Transform and Singular Value Decomposition. International Journal of Computer Applications 89(19):1-3, March 2014. Full text available. BibTeX
@article{key:article,
author = {Ramandeep Kaur and Sonika Jindal},
title = {Article: Digital Image Watermarking Technique using High Frequency Band based on Discrete Wavelet Transform and Singular Value Decomposition},
journal = {International Journal of Computer Applications},
year = {2014},
volume = {89},
number = {19},
pages = {1-3},
month = {March},
note = {Full text available}
}
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
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- 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.