Multi-Channel Statistical Framework for Robust and Reliable Watermark Detection in Color Image Processing


Authors : Nafla Iqbal

Volume/Issue : Volume 10 - 2025, Issue 1 - January


Google Scholar : https://tinyurl.com/3urzywtj

Scribd : https://tinyurl.com/3ta7m693

DOI : https://doi.org/10.5281/zenodo.14724997


Abstract : Information security has become a critical aspect of modern life. One viable approach to ensuring secure and legitimate transactions is by embedding data into multimedia content, such as through watermarking. This paper introduces a novel watermarking scheme for color images, along with its corresponding detector. Although numerous methods for watermark detection exist, the integration of Hidden Markov Models (HMMs) has significantly improved the accuracy of watermark extraction from color images. Unlike many existing systems that overlook inter-channel dependencies, this work emphasizes the role of inter- channel dependencies between RGB channels. Additionally, it leverages inter-scale dependencies of sparse coefficients for color images using HMMs, offering a more robust and accurate watermarking solution.

Keywords : Information Security, Watermarking, Hidden Markov Model, Inter-Channel Dependencies.

References :

  1. M. Amini, M.O. Ahmad and M.N.S. Swamy, “A new blind wavelet domain watermark detector using hidden Markov model,” in Proc. International Symposium on Circuits and Systems (ISCAS), pp. 2285- 2288,2014.
  2. M. Amini, M.O. Ahmad and M.N.S. Swamy,“Digital watermark extrac- tion in wavelet domain using hidden Markov model,” Multimedia Tools and Applications, vol. 75, no. 21, pp. 1-19, 2016.
  3. M. Amini, H. Sadreazami, M.O. Ahmad and M.N.S. Swamy,“A hidden Markov model-based blind detector for multiplicative watermarking,” in Proc. IEEE Midwest Symposium on Circuits and Systems (MWSCAS), pp.611-614, 2017.
  4. X. L. Liu, C. C. Lin and S. M. Yuan, “Blind dual watermarking for color images’ authentication and copyright protection,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no. 5, pp. 1047- 1055,2016.
  5. C. Wang, J. Ni and J. Huang,“An informed watermarking scheme using hidden Markov model in the wavelet domain,” IEEE Transactions on Information Forensics and Security, vol. 7, no. 3, pp. 853-867, 2012.
  6. M. Barni, F. Bartolini, A. DeRosa and A. Piva,“Color image water- marking in the Karhunen-Loeve transform domain,”Journal of Electronic Imaging, vol. 11, no. 1, pp. 87-95, 2002.
  7. Crouse MS, Nowak RD, Baraniuk RG (1998),” Wavelet-based statistical signal processing using hidden Markov models,”IEEE Trans Signal Process 46(4):886–902.
  8. I. J. Cox, J. Kilian, F. T. Leighton and T. Shamoon,“Secure spread spectrum watermarking for multimedia,”IEEE Transactions on Image Processing, vol. 6, no. 12, pp. 1673-1687, 1997.
  9. M. N. Do and M. Vetterli,“Rotation invariant texture characterization and retrieval using steerable wavelet-domain hidden Markov models,”IEEE Transactions on Multimedia, vol. 4, no. 4, pp. 517-527, 2002.
  10. M. Yeung, F. Mintzer, “An invisible watermarking technique for im- age verification,”Proceedings of the International Conference on Image Processing, vol. 2, pp. 680-683,1997.
  11. 5Q. Su, Y. Niu, H. Zou, X. X. Liu,“A blind dual color images water- marking based on singular value decomposition,”Applied Mathematics and Computation, vol. 219, no. 16, pp. 8455-8466, 2013.
  12. C. S. Lu, H. Y. M. Liao,“Multipurpose watermarking for image authen- tication and protection,”IEEE Transactions on Image Processing,vol. 10, no. 10, pp. 1579-1592, 2001.

Information security has become a critical aspect of modern life. One viable approach to ensuring secure and legitimate transactions is by embedding data into multimedia content, such as through watermarking. This paper introduces a novel watermarking scheme for color images, along with its corresponding detector. Although numerous methods for watermark detection exist, the integration of Hidden Markov Models (HMMs) has significantly improved the accuracy of watermark extraction from color images. Unlike many existing systems that overlook inter-channel dependencies, this work emphasizes the role of inter- channel dependencies between RGB channels. Additionally, it leverages inter-scale dependencies of sparse coefficients for color images using HMMs, offering a more robust and accurate watermarking solution.

Keywords : Information Security, Watermarking, Hidden Markov Model, Inter-Channel Dependencies.

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe