Optimal parameter selection for image watermarking using MOGA

Bhandari, Dinabandhu ; Kundu, Lopamudra ; Pal, Sankar K. (2011) Optimal parameter selection for image watermarking using MOGA Lecture Notes in Computer Science, 6744 . pp. 280-285. ISSN 0302-9743

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Official URL: http://www.springerlink.com/content/k23k3k52r6q051...

Related URL: http://dx.doi.org/10.1007/978-3-642-21786-9_46


The notion of the proposed methodology is to optimize multidimensional nonlinear problem of conflicting nature that exists among imperceptibility and robustness in image watermarking. The methodology exploits the potentiality of Multi-Objective Genetic Algorithm (MOGA) in searching multiple non-dominated solutions lying on the Pareto front. The characteristics curve of the image are then analyzed and the most appropriate solution is selected using a merit function defined over evaluation measures. The efficacy of the suggested method is demonstrated by reporting the resultant watermarked images and restored watermarks extracted from their mean and median filtered versions.

Item Type:Article
Source:Copyright of this article belongs to Springer.
Keywords:Image Characteristics Curve; Merit Function; Imperceptibility; Robustness; SSIM
ID Code:77737
Deposited On:14 Jan 2012 12:11
Last Modified:14 Jan 2012 12:11

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