research-article

Genetic swarm based robust image watermarking

Authors:

Asmatullah Chaudhry,

Bushra Sikandar,

Tran Anh TuanAuthors Info & Claims

ICUIMC '13: Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication

Article No.: 6, Pages 1 - 7

https://doi.org/10.1145/2448556.2448562

Published: 17 January 2013 Publication History

Abstract

This paper presents a new method for adaptive watermark strength optimization in Discrete Cosine Transform (DCT) domain. Watermarking is a method to embed secret information in the host medium. Optimal sub-band and strength selection for watermark is the most critical aspect in the whole process and it had attracted many researchers in the recent past. In the proposed method, DCT sub-band is selected using Genetic Algorithm (GA) and watermark strength is intelligently selected through Particle Swarm Optimization (PSO). GA performs well at exploring a vast search space and it selects the suitable sub-band for watermark embedding. Perceptual shaping of the watermark is done in such a way that watermark embedding is imperceptible to the human visual system. The proposed method shows promising results against different attacks, such as low-pass filter, high-pass filter, median filters, shifting and cropping the marked image. Further, experimental results have shown better performance of the proposed method as compared with the current approaches in practice.

References

[1]

E. Ercelebi, L. Batakçi, "Audio watermarking scheme based on embedding strategy in low frequency components with a binary image source", Digital Signal Processing, vol. 19, issue 2, pp. 265--277, 2009.

Digital Library

[2]

X. Yang, P. Niu, W. Qi, "A new adaptive digital audio watermarking based on support vector machine", Journal of Network and Computer Applications, vol. 31, issue 4, pp. 735--749, 2008.

Digital Library

[3]

G. Chen, Y. Cheng, Y. Wang, "A Robust Adaptive Video Watermarking Algorithm based on HVS", In Proceeding of The 9th International Conference for Young Computer Scientists, pp. 1424--1428, 2008.

Digital Library

[4]

Y. Lin, J. Zhao, "A new video watermarking algorithm based on 1D DFT and random transform source", Signal Processing, vol. 90, issue 2, pp. 626--639, 2010.

Digital Library

[5]

Q. S. Ai, Q. Liu, Z. D. Zhou, L. Yang, "A new digital watermarking scheme for 3D triangular mesh models", Signal Processing, vol. 89, issue 11, pp. 2159--2170, 2009.

Digital Library

[6]

W. Wang, G. Zheng, J. Yong, H. Gu, "A numerically stable fragile watermarking scheme for authenticating 3D models", Computer Aided Design, vol. 40, issue 5, pp. 634--645, 2008.

Digital Library

[7]

A. Khan, A. M. Mirza and A. Majid, "Intelligent perceptual shaping of a digital watermark: exploiting characteristics of human visual system", International Journal of Knowledge-based Intelligent Engineering Systems, (KES), vol. 9, pp. 1--11, 2005.

Digital Library

[8]

A. Khan, A. M. Mirza, "Genetic Perceptual shaping: utilizing cover image and conceivable attack information during watermark embedding", in Information fusion, vol. 8, issue 4, pp. 354--365, 2007.

Digital Library

[9]

Sikander, M. Ishtiaq, M. A. Jaffar, A. M. Mirza, "Adaptive digital image watermarking using Genetic Algorithm" In Proceeding of IEEE International Conference on Information Science and Applications (ICISA 2010), Seoul, Korea, April, 2010.

[10]

M. Ishtiaq, B. Sikander, M. A. Jaffar, Aziz Khan, "Adaptive watermark strength selection using Particle Swarm Optimization" ICIC Express Letters An International Journal of Research and Surveys, Volume 4, Issue 6(B), December 2010.

[11]

L. Zne-Jung, L. Shih-Wei, S. Shun-Feng, L. Chun-Yen, "A hybrid watermarking technique applied to digital images", Applied Soft Computing, pp. 798--808, vol. 8, issue 1, 2008.

Digital Library

[12]

D. A. Goldberg, "Genetic Algorithms in Search, Optimization and Machine Learning", Addision-Wesley, Reading, MA, 1989.

Digital Library

[13]

Z. Michalewicz, Genetic algorithms + data structure = evolution programs, Springer-Verlag, Berlin, 1994.

Digital Library

[14]

M. Gen, R. Cheng, Genetic Algorithms and Engineering Design, John Wiley & Sons, Inc., 1997.

Digital Library

[15]

J. Kennedy, R. Eberhart, "Particle swarm optimization", In Proceedings of the IEEE International Conference on Neural Networks (Perth, Australia), IEEE Service Center, Piscataway, NJ, pp. 1942--1948, 1995.

[16]

C. A. C. Coello, G. T. Pulido, M. S. Lechuga, "Handling multiple objectives with particle swarm optimization", IEEE Transactions on Evolutionary Computations, vol. 8, issue. 3, pp. 256--279, 2004.

Digital Library

[17]

C.-M. Huang, C. -J. Huang, M. Wang, "A particle swarm optimization to identifying the ARMAX model for short-term load forecasting", IEEE transactions on Power Systems, vol. 20, issue 2, pp. 1126--1133, 2005.

[18]

W. Xia, Z. Wu, "An effective hybrid optimization approach for multi-objective flexible job-shop scheduling problems", Computers and Industrial Engineering, vol. 48, issue 2, pp. 409--425, 2005.

Digital Library

[19]

I. J. Cox, J. Kilian, T. Leighton and T. Shamoon, "A Secure, robust watermark for multimedia," Workshop on Information Hiding, Newton Institute, Univ. of Cambridge, May 1996.

Digital Library

[20]

A. Piva, M. Barni, F. Bartolini, V. Cappellini, "DCT-based watermark recovering without resorting to the uncorrupted original image", Proceeding of International Conference on Image Processing, vol. 1 pp. 520--523, 1997.

Digital Library

Cited By

Maarouf SKsentini AAzzag E(2023)Comparative Study Of Five Mppt Controls In Two-Stage Three-Phase Grid-Connected Photovoltaic Systems Under Partial Shading ConditionsThe Scientific Bulletin of Electrical Engineering Faculty10.2478/sbeef-2023-000423:1(21-30)Online publication date: 14-Sep-2023
https://doi.org/10.2478/sbeef-2023-0004
(2018)DWT-based grey-scale image watermarking using area of best fit equation and cuckoo search algorithmInternational Journal of Computational Science and Engineering10.5555/3160607.316061415:3-4(236-247)Online publication date: 20-Dec-2018
https://dl.acm.org/doi/10.5555/3160607.3160614
El-Alfy EAl-Hasan A(2014)A novel bio-inspired predictive model for spam filtering based on dendritic cell algorithm2014 IEEE Symposium on Computational Intelligence in Cyber Security (CICS)10.1109/CICYBS.2014.7013372(1-7)Online publication date: Dec-2014
https://doi.org/10.1109/CICYBS.2014.7013372
Show More Cited By

Index Terms

Genetic swarm based robust image watermarking
1. Security and privacy
  1. Security services
    1. Authentication
  2. Systems security
    1. Operating systems security

Recommendations

Robust and imperceptible image watermarking technique based on SVD, DCT, BEMD and PSO in wavelet domain
Abstract
This article introduces a robust image watermarking primarily founded on DWT (discrete wavelet transform), BEMD (bi-dimensional empirical mode decomposition), DCT (discrete cosine transform), PSO (particle swarm optimization), and SVD (singular ...
More secure lossless visible watermarking by DCT

This study proposes a scheme for using modified coefficients of the DCT of an image to generate a lossless visible watermark. The major contribution of the proposed technique is the improved security against attack to remove watermarks under stricter ...
A Robust Chaos-Based DCT-Domain Watermarking Algorithm
CSSE '08: Proceedings of the 2008 International Conference on Computer Science and Software Engineering - Volume 03

A chaos-based watermarking algorithm in DCT-domain for still images is proposed, and the algorithm is a blind watermarking scheme. Firstly, the watermark is scrambled by one chaos map with keys; Secondly, the scrambled watermark is embedded into the ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences

ICUIMC '13: Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication

January 2013

772 pages

ISBN:9781450319584

DOI:10.1145/2448556

Copyright © 2013 ACM.

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]

Sponsors

SIGAPP: ACM Special Interest Group on Applied Computing
SKKU: SUNGKYUNKWAN UNIVERSITY

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 January 2013

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

ICUIMC '13

Sponsor:

SIGAPP
SKKU

ICUIMC '13: The 7th International Conference on Ubiquitous Information Management and Communication

January 17 - 19, 2013

Kota Kinabalu, Malaysia

Acceptance Rates

Overall Acceptance Rate 251 of 941 submissions, 27%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

4
Total Citations
View Citations
118
Total Downloads

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

Reflects downloads up to 14 Feb 2025

Other Metrics

View Author Metrics

Citations

Cited By

Maarouf SKsentini AAzzag E(2023)Comparative Study Of Five Mppt Controls In Two-Stage Three-Phase Grid-Connected Photovoltaic Systems Under Partial Shading ConditionsThe Scientific Bulletin of Electrical Engineering Faculty10.2478/sbeef-2023-000423:1(21-30)Online publication date: 14-Sep-2023
https://doi.org/10.2478/sbeef-2023-0004
(2018)DWT-based grey-scale image watermarking using area of best fit equation and cuckoo search algorithmInternational Journal of Computational Science and Engineering10.5555/3160607.316061415:3-4(236-247)Online publication date: 20-Dec-2018
https://dl.acm.org/doi/10.5555/3160607.3160614
El-Alfy EAl-Hasan A(2014)A novel bio-inspired predictive model for spam filtering based on dendritic cell algorithm2014 IEEE Symposium on Computational Intelligence in Cyber Security (CICS)10.1109/CICYBS.2014.7013372(1-7)Online publication date: Dec-2014
https://doi.org/10.1109/CICYBS.2014.7013372
El-Alfy EGhaleb A(2014)Biobjective NSGA-II for optimal spread spectrum watermarking of color frames: Evaluation study2014 IEEE Symposium on Computational Intelligence in Cyber Security (CICS)10.1109/CICYBS.2014.7013361(1-8)Online publication date: Dec-2014
https://doi.org/10.1109/CICYBS.2014.7013361

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

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Figures

Tables

Media

View Table of Conten