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 :
- 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.
- 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.
- 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.
- 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.
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- 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.
- 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.
- 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.
- 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.
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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.