A Watermarking Algorithm for Multiple Watermarks Protection Using SVD and Compressive Sensing

Abstract

In this paper, a watermarking algorithm is proposed and analyzed using RDWT-SVD and Compressive Sensing for multiple watermarks protection. In this algorithm, the multiple watermarks are inserted into single host medium. Here three watermarks are converted into its CS measurements using compressive sensing procedure before embedding into host medium. The CS measurements of watermarks are generated using discrete cosine transform (DCT) and normal distribution matrix. The singular value of these CS measurements of multiple watermarks is inserted into the singular value of approximation wavelet coefficients of R channel, G channel and B channel of color host image to get watermarked color image. The experimental results show that this proposed algorithm is equally worked for all types of watermarks. This proposed algorithm also provides robustness against various watermarking attacks and performed better than existed algorithms in the literature.

Authors

  • Rohit Thanki
  • Vedvyas Dwivedi
  • Komal Borisagar
  • Surekha Borra

Downloads

Published

06/08/2017

How to Cite

Thanki, R., Dwivedi, V., Borisagar, K., & Borra, S. (2017). A Watermarking Algorithm for Multiple Watermarks Protection Using SVD and Compressive Sensing. Informatica, 41(4). Retrieved from https://www.informatica.si/index.php/informatica/article/view/1671

Issue

Vol. 41 No. 4 (2017)

Section

Regular papers

License

Authors retain copyright in their work. By submitting to and publishing with Informatica, authors grant the publisher (Slovene Society Informatika) the non-exclusive right to publish, reproduce, and distribute the article and to identify itself as the original publisher.

All articles are published under the Creative Commons Attribution license CC BY 3.0. Under this license, others may share and adapt the work for any purpose, provided appropriate credit is given and changes (if any) are indicated.

Authors may deposit and share the submitted version, accepted manuscript, and published version, provided the original publication in Informatica is properly cited.