Biobjective NSGA-II for optimal spread spectrum watermarking of color frames: Evaluation study

El Sayed M. El-Alfy; Asem A. Ghaleb

doi:10.1109/CICYBS.2014.7013361

Biobjective NSGA-II for optimal spread spectrum watermarking of color frames: Evaluation study

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this work, a spread spectrum watermarking optimization algorithm is explored for digital color images using biobjective genetic algorithms and full-frame discrete-cosine transform. The aim of optimization is to generate the trade-off curve, a.k.a. optimal Pareto points, of watermark imperceptibility and robustness. The watermark imperceptibility is evaluated using the Structural SIMilarity (SSIM) index between the original image and the watermarked image whereas the watermark robustness is evaluated in terms of the Normalized Correlation Coefficient (NCC) between the original watermark and the recovered watermark. The watermarked image is susceptible to various types of attacks or processing distortions such as additive Gaussian noise, pepper-and-salt noise, JPEG compression, camera motion and median filtering. For the biobjective genetic algorithm, we used the fast elitist Non-dominated Sorting Genetic Algorithm (NSGA-II). We reviewed related work and investigated two color spaces (YCbCr and HSV) in addition to gray scale images where embedding is conducted in different frames and various distortions are applied before the extraction of the watermark. The results are compared for various cases under similar conditions.

Original language	English
Title of host publication	IEEE SSCI 2014
Subtitle of host publication	2014 IEEE Symposium Series on Computational Intelligence - CICS 2014: 2014 IEEE Symposium on Computational Intelligence in Cyber Security, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479945221
DOIs	https://doi.org/10.1109/CICYBS.2014.7013361
State	Published - 16 Jan 2014

Publication series

Name	IEEE SSCI 2014: 2014 IEEE Symposium Series on Computational Intelligence - CICS 2014: 2014 IEEE Symposium on Computational Intelligence in Cyber Security, Proceedings

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Software

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10.1109/CICYBS.2014.7013361

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El-Alfy, E. S. M., & Ghaleb, A. A. (2014). Biobjective NSGA-II for optimal spread spectrum watermarking of color frames: Evaluation study. In IEEE SSCI 2014: 2014 IEEE Symposium Series on Computational Intelligence - CICS 2014: 2014 IEEE Symposium on Computational Intelligence in Cyber Security, Proceedings Article 7013361 (IEEE SSCI 2014: 2014 IEEE Symposium Series on Computational Intelligence - CICS 2014: 2014 IEEE Symposium on Computational Intelligence in Cyber Security, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CICYBS.2014.7013361

El-Alfy, El Sayed M. ; Ghaleb, Asem A. / Biobjective NSGA-II for optimal spread spectrum watermarking of color frames : Evaluation study. IEEE SSCI 2014: 2014 IEEE Symposium Series on Computational Intelligence - CICS 2014: 2014 IEEE Symposium on Computational Intelligence in Cyber Security, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. (IEEE SSCI 2014: 2014 IEEE Symposium Series on Computational Intelligence - CICS 2014: 2014 IEEE Symposium on Computational Intelligence in Cyber Security, Proceedings).

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title = "Biobjective NSGA-II for optimal spread spectrum watermarking of color frames: Evaluation study",

abstract = "In this work, a spread spectrum watermarking optimization algorithm is explored for digital color images using biobjective genetic algorithms and full-frame discrete-cosine transform. The aim of optimization is to generate the trade-off curve, a.k.a. optimal Pareto points, of watermark imperceptibility and robustness. The watermark imperceptibility is evaluated using the Structural SIMilarity (SSIM) index between the original image and the watermarked image whereas the watermark robustness is evaluated in terms of the Normalized Correlation Coefficient (NCC) between the original watermark and the recovered watermark. The watermarked image is susceptible to various types of attacks or processing distortions such as additive Gaussian noise, pepper-and-salt noise, JPEG compression, camera motion and median filtering. For the biobjective genetic algorithm, we used the fast elitist Non-dominated Sorting Genetic Algorithm (NSGA-II). We reviewed related work and investigated two color spaces (YCbCr and HSV) in addition to gray scale images where embedding is conducted in different frames and various distortions are applied before the extraction of the watermark. The results are compared for various cases under similar conditions.",

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El-Alfy, ESM & Ghaleb, AA 2014, Biobjective NSGA-II for optimal spread spectrum watermarking of color frames: Evaluation study. in IEEE SSCI 2014: 2014 IEEE Symposium Series on Computational Intelligence - CICS 2014: 2014 IEEE Symposium on Computational Intelligence in Cyber Security, Proceedings., 7013361, IEEE SSCI 2014: 2014 IEEE Symposium Series on Computational Intelligence - CICS 2014: 2014 IEEE Symposium on Computational Intelligence in Cyber Security, Proceedings, Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/CICYBS.2014.7013361

Biobjective NSGA-II for optimal spread spectrum watermarking of color frames: Evaluation study. / El-Alfy, El Sayed M.; Ghaleb, Asem A.
IEEE SSCI 2014: 2014 IEEE Symposium Series on Computational Intelligence - CICS 2014: 2014 IEEE Symposium on Computational Intelligence in Cyber Security, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. 7013361 (IEEE SSCI 2014: 2014 IEEE Symposium Series on Computational Intelligence - CICS 2014: 2014 IEEE Symposium on Computational Intelligence in Cyber Security, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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El-Alfy ESM, Ghaleb AA. Biobjective NSGA-II for optimal spread spectrum watermarking of color frames: Evaluation study. In IEEE SSCI 2014: 2014 IEEE Symposium Series on Computational Intelligence - CICS 2014: 2014 IEEE Symposium on Computational Intelligence in Cyber Security, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2014. 7013361. (IEEE SSCI 2014: 2014 IEEE Symposium Series on Computational Intelligence - CICS 2014: 2014 IEEE Symposium on Computational Intelligence in Cyber Security, Proceedings). doi: 10.1109/CICYBS.2014.7013361

Biobjective NSGA-II for optimal spread spectrum watermarking of color frames: Evaluation study

Abstract

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