article

Noise-resistant watermarking in the fractional Fourier domain utilizing moment-based image representation

Authors:

Michalis A. Savelonas,

Spiros ChountasisAuthors Info & Claims

Signal Processing, Volume 90, Issue 8

Pages 2521 - 2528

https://doi.org/10.1016/j.sigpro.2010.02.021

Published: 01 August 2010 Publication History

Abstract

This paper presents a novel noise-robust scheme for watermark embedding and extraction, applicable on the broad scientific field of information security, including digital encryption for secure transmission. The proposed scheme employs Fourier coefficients for moment-based image analysis and the fractional Fourier transformation for watermark embedding. This approach maintains the advantages of spatial and frequency domain representations, offers two additional degrees of freedom associated with the fractional Fourier transformation angles, whereas it provides increased detectability of the embedded watermarks at the received end. The experimental evaluation of the proposed scheme leads to the conclusion that it is more robust in the presence of noise than previous schemes for watermark embedding and extraction.

References

[1]

Cox, I.J., Miller, M.L., Bloom, J.A., Fridrich, J. and Kalker, T., Digital Watermarking and Steganography. 2008. Morgan Kaufmann, San Francisco, CA.

[2]

Autrusseau, F. and Le Callet, P., A robust image watermarking technique based on quantization noise visibility thresholds. Signal Process. v87. 1363-1383.

Digital Library

[3]

Djurovic, I., Stankovic, S. and Pitas, I., Digital watermarking in the fractional Fourier transform domain. J. Network Comput. Appl. v24. 167-173.

Digital Library

[4]

Guo, J., Liu, Z. and Liu, S., Watermarking based on discrete fractional random transform. Opt. Commun. v272 i2. 344-348.

[5]

Kutter, M. and Petitcolas, F., Fair evaluation methods for image watermarking systems. J. Electron. Imag. v9 i4. 445-455.

[6]

Solachidis, V. and Pitas, L., Circularly symmetric watermark embedding in 2-D DFT domain. IEEE Trans. Image Process. v10 i11. 1741-1753.

[7]

Nikolaidis, N. and Pitas, I., Robust image watermarking in the spatial domain. Signal Process. v66. 385-403.

Digital Library

[8]

Z. Yucel, A.B. Ozguler, Watermarking via zero assigned filter banks, Signal Process. 90 (2) (2010) 467-479.

Digital Library

[9]

D.C. Schuurman, D.W. Capson, Video-rate eigenspace methods for position tracking and remote monitoring, in: Proceedings of IEEE Southwest Symposium on Image Analysis and Interpretation, 2002, pp. 45-49.

[10]

Dudani, S.A., Breeding, K.J. and McGhee, R.B., Aircraft identification by moment invariants. IEEE Trans. Comput. vC-26 i1. 39-46.

[11]

Bailey, D.H. and Swarztrauber, P.N., The fractional Fourier transform and applications. SIAM Rev. v33. 389-404.

Digital Library

[12]

Lohmann, A.W., Mendlovic, D. and Zalevsky, Z., Fractional Hilbert transform. Opt. Lett. v21 i4. 281-283.

[13]

McBride, A.C. and Kerr, F.H., On Namias's fractional Fourier transforms. IMA J. Appl. Math. v39. 159-175.

[14]

Mendlovic, D. and Ozaktas, H.M., Fractional Fourier transforms and their optical implementation. Int. J. Opt. Soc. Am. A. v10. 1875-1881.

[15]

Namias, V., The fractional order Fourier transform and its application in quantum mechanics. J. Inst. Math. Appl. v25. 241-265.

[16]

Almeida, L.B., The fractional Fourier transform and time-frequency representation. IEEE Trans. Signal Process. v42. 3084-3091.

Digital Library

[17]

Chountasis, S., Vourdas, ***. and Bendjaballah, C., Fractional Fourier operators and generalized Wigner functions. Phys. Rev. ***. v60. 3467-3473.

[18]

Ozaktas, H.M., Zalevsky, Z. and Kutay, M., The Fractional Fourier Transform. 2001. John Wiley and Sons, New York, NY.

[19]

Banham, M.R. and Katsaggelos, A.K., Digital image restoration. IEEE Signal Process. Mag. v14. 24-41.

[20]

Castleman, K.R., Digital Processing. 1996. Prentice-Hall, Eglewood Cliffs, NJ.

[21]

Chantas, J., Galatsanos, N.P. and Woods, N., Super resolution based on fast registration and maximum A posteriori reconstruction. IEEE Trans. Image Process. v16 i7. 1821-1830.

[22]

El-Sayed Wahed, M., Image enhancement using second generation wavelet super resolution. Int. J. Phys. Sci. v2 i6. 149-158.

[23]

Gonzalez, R. and Wintz, P., Digital Image Processing. 1987. second ed. Addison-Wesley Publishing Co., USA.

[24]

A.K. Katsaggelos, J. Biemond, R.M. Mersereau, R.W. Schafer, A general formulation of constrained iterative restoration algorithms, in: IEEE Proceedings of ICASSP, Tampa, FL, 1985, pp. 700-703.

[25]

Celik, M.U., Sharma, G., Tekalp, A.M. and Saber, E., Lossless generalized-LSB data encoding. IEEE Trans. Image Process. v14 i2. 253-266.

[26]

Feng, S., Xu, D. and Yang, X., Attention-driven salient edge(s) and region(s) extraction with application to CBIR. Signal Process. v90. 1-15.

Digital Library

[27]

Qi, X. and Qi, J., A robust content-based digital image watermarking scheme. Signal Process. v87. 1264-1280.

Digital Library

[28]

Kumari, B.P. and Rallabandi, V.P.S., Modified patchwork-based watermarking scheme for satellite imagery. Signal Process. v88. 891-904.

Digital Library

[29]

Schafer, R.W., Mersereau, R.M. and Richards, M.A., Constrained iterative restoration algorithms. Proc. IEEE. v69. 432-450.

[30]

Groetsch, C.W., Generalized Inverses of Linear Operators: Representation and Approximation, Monographs and Textbooks in Pure and Applied Mathematics 3. 1977. Marcel Dekker.

[31]

A. Bultheel, Digital watermarking of images in the fractional Fourier domain, Technical Report, TW 497, 2007.

[32]

Barni, M., Bartolini, F. and Piva, A., Improved wavelet-based watermarking through pixel-wise masking. IEEE Trans. Image Process. v10 i5. 783-791.

Cited By

Liu XWu YGao POuyang JShao Z(2022)Color image watermarking based on singular value decomposition and generalized regression neural networkMultimedia Tools and Applications10.1007/s11042-022-12990-181:22(32073-32091)Online publication date: 1-Sep-2022
https://dl.acm.org/doi/10.1007/s11042-022-12990-1
Li MXiao DZhu YZhang YSun L(2019)Commutative fragile zero-watermarking and encryption for image integrity protectionMultimedia Tools and Applications10.1007/s11042-019-7560-178:16(22727-22742)Online publication date: 1-Aug-2019
https://dl.acm.org/doi/10.1007/s11042-019-7560-1
Sharma DSaxena RSingh N(2017)Dual domain robust watermarking scheme using random DFRFT and least significant bit techniqueMultimedia Tools and Applications10.1007/s11042-016-4095-676:3(3921-3942)Online publication date: 1-Feb-2017
https://dl.acm.org/doi/10.1007/s11042-016-4095-6
Show More Cited By

Noise-resistant watermarking in the fractional Fourier domain utilizing moment-based image representation
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
2. Mathematics of computing
  1. Mathematical analysis
    1. Numerical analysis

Recommendations

A watermarking-based image ownership and tampering authentication scheme

Nowadays, image authentication schemes are widely applied to ownership protection and tampering detection of digital images. In this paper, we propose an image ownership and tampering authentication scheme based on watermarking techniques, which is ...
Invisible watermarking based on creation and robust insertion-extraction of image adaptive watermarks

This article presents a novel invisible robust watermarking scheme for embedding and extracting a digital watermark in an image. The novelty lies in determining a perceptually important subimage in the host image. Invisible insertion of the watermark is ...
Optimized SVD-based robust watermarking in the fractional Fourier domain

Digital watermarking is one of the most effective methods for protecting multimedia from different kind of threats. It has been used for many purposes, like copyright protection, ownership identification, tamper detection, etc. Many watermarking ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image Signal Processing

Signal Processing Volume 90, Issue 8

August, 2010

303 pages

ISSN:0165-1684

Issue’s Table of Contents

Copyright © Elsevier B.V. © 2010.

Publisher

Elsevier North-Holland, Inc.

United States

Publication History

Published: 01 August 2010

Author Tags

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

10
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 20 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

Liu XWu YGao POuyang JShao Z(2022)Color image watermarking based on singular value decomposition and generalized regression neural networkMultimedia Tools and Applications10.1007/s11042-022-12990-181:22(32073-32091)Online publication date: 1-Sep-2022
https://dl.acm.org/doi/10.1007/s11042-022-12990-1
Li MXiao DZhu YZhang YSun L(2019)Commutative fragile zero-watermarking and encryption for image integrity protectionMultimedia Tools and Applications10.1007/s11042-019-7560-178:16(22727-22742)Online publication date: 1-Aug-2019
https://dl.acm.org/doi/10.1007/s11042-019-7560-1
Sharma DSaxena RSingh N(2017)Dual domain robust watermarking scheme using random DFRFT and least significant bit techniqueMultimedia Tools and Applications10.1007/s11042-016-4095-676:3(3921-3942)Online publication date: 1-Feb-2017
https://dl.acm.org/doi/10.1007/s11042-016-4095-6
Shao ZShang YZhang YLiu XGuo G(2016)Robust watermarking using orthogonal Fourier-Mellin moments and chaotic map for double imagesSignal Processing10.1016/j.sigpro.2015.10.005120:C(522-531)Online publication date: 1-Mar-2016
https://dl.acm.org/doi/10.1016/j.sigpro.2015.10.005
Botta MCavagnino DPomponiu V(2016)A modular framework for color image watermarkingSignal Processing10.1016/j.sigpro.2015.07.018119:C(102-114)Online publication date: 1-Feb-2016
https://dl.acm.org/doi/10.1016/j.sigpro.2015.07.018
Niu PWang PLiu YYang HWang X(2016)Invariant color image watermarking approach using quaternion radial harmonic Fourier momentsMultimedia Tools and Applications10.1007/s11042-015-2687-175:13(7655-7679)Online publication date: 1-Jul-2016
https://dl.acm.org/doi/10.1007/s11042-015-2687-1
Yang HWang XNiu PWang A(2015)Robust Color Image Watermarking Using Geometric Invariant Quaternion Polar Harmonic TransformACM Transactions on Multimedia Computing, Communications, and Applications10.1145/270029911:3(1-26)Online publication date: 5-Feb-2015
https://dl.acm.org/doi/10.1145/2700299
Soo-Chang Pei Shih-Gu Huang Jian-Jiun Ding (2015)Discrete Gyrator Transforms: Computational Algorithms and ApplicationsIEEE Transactions on Signal Processing10.1109/TSP.2015.243784563:16(4207-4222)Online publication date: 1-Aug-2015
https://dl.acm.org/doi/10.1109/TSP.2015.2437845
Yuan XPun CChen C(2013)Fast communicationSignal Processing10.1016/j.sigpro.2013.01.02493:7(2087-2095)Online publication date: 1-Jul-2013
https://dl.acm.org/doi/10.1016/j.sigpro.2013.01.024
Rawat SRaman B(2012)A blind watermarking algorithm based on fractional Fourier transform and visual cryptographySignal Processing10.1016/j.sigpro.2011.12.00692:6(1480-1491)Online publication date: 1-Jun-2012
https://dl.acm.org/doi/10.1016/j.sigpro.2011.12.006

View Options

View options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

Media

Figures

Other

Tables

View Issue’s Table of Contents