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Key-dependant decomposition based image watermarking

Published: 10 October 2004 Publication History

Abstract

In this paper, we propose a novel image watermarking algorithm, which is based on the scheme where the watermark is embedded into projection of an image onto the secret set of key-dependant basis functions. We propose a key-dependant image decomposition method, which involves solving a bottleneck hamiltonian path problem by an ant colony optimization technique. Combined with the decomposition technique, the original scheme is significantly improved on the aspects of speed, capacity and security. In particular, our algorithm usually shortens the running time of the original scheme by a factor of several hundred.

References

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J. Fridrich, L. Arnold, C. Baldoza, and R.J. Simard. Robust digital watermarking based on key-dependent basis functions. Proc. 2nd Information Hiding Workshop, LNCS vol. 1525, Springer-Verlag, New York, pages 143--157, 1998.]]
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P. Kumar and P.I. Rockett. Triplet geometric representation: A novel scale, translation and rotation invariant feature representation based on geometric constraints for recognition of 2D object features. Image and Vision Computing, 15(3):235--249, 1997.]]
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C-Y. Lin, M. Wu, J.A. Bloom, M.L. Miller, I.J. Cox, and Y-M. Lui. Rotation, scale, and translation resilient public watermarking for images. IEEE Transactions on Image Processing, 10(5):767--782, 2001.]]
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V. Maniezzo, L.M. Gambardella, and F. de~Luigi. Ant colony optimization. New Optimization Techniques in Engineering, by G.C. Onwubolu and B.V. Babu, Springer-Verlag Berlin Heidelberg, pages 101--117, 2004.]]
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J. Mayer and R.A. Silva. Efficient informed embedding of multi-bit watermark. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), III:399--402, 2004.]]
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Cited By

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  • (2020)Secure image encryption technique based on jigsaw transform and chaotic scrambling using digital image watermarkingOptical and Quantum Electronics10.1007/s11082-019-2130-352:2Online publication date: 20-Jan-2020
  • (2019)A patch analysis method to detect seam carved imagesPattern Recognition Letters10.1016/j.patrec.2013.09.02636(100-106)Online publication date: 6-Jan-2019
  • (2012)Key Dependent Feature Point Based Image Watermaking SchemeAdvances in Computer Science and Information Technology. Computer Science and Engineering10.1007/978-3-642-27308-7_53(498-507)Online publication date: 2012

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cover image ACM Conferences
MULTIMEDIA '04: Proceedings of the 12th annual ACM international conference on Multimedia
October 2004
1028 pages
ISBN:1581138938
DOI:10.1145/1027527
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 10 October 2004

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  1. image watermarking
  2. key-dependant decomposition

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Overall Acceptance Rate 995 of 4,171 submissions, 24%

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Cited By

View all
  • (2020)Secure image encryption technique based on jigsaw transform and chaotic scrambling using digital image watermarkingOptical and Quantum Electronics10.1007/s11082-019-2130-352:2Online publication date: 20-Jan-2020
  • (2019)A patch analysis method to detect seam carved imagesPattern Recognition Letters10.1016/j.patrec.2013.09.02636(100-106)Online publication date: 6-Jan-2019
  • (2012)Key Dependent Feature Point Based Image Watermaking SchemeAdvances in Computer Science and Information Technology. Computer Science and Engineering10.1007/978-3-642-27308-7_53(498-507)Online publication date: 2012

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