scholarly journals Performance Optimization of Discrete Wavelets Transform Based Image Watermarking Using Genetic Algorithms

2008 ◽  
Vol 4 (10) ◽  
pp. 834-841 ◽  
Author(s):  
Ali Al-Haj ◽  
Aymen Abu-Errub
Keyword(s):  
Genetic Algorithms ◽  
Performance Optimization ◽  
Image Watermarking ◽  
Wavelets Transform ◽  
Discrete Wavelets

Performance Optimization of DWT-Based Image Watermarking Using Genetic Algorithms

2009 ◽  
pp. 210-221
Author(s):  
Ali Al-Haj ◽  
Aymen Abu-Errub
Keyword(s):  
Genetic Algorithms ◽  
Visual System ◽  
Human Visual System ◽  
Performance Optimization ◽  
Image Watermarking ◽  
Spatial Localization ◽  
Theoretical Models ◽  
Experimental Results ◽  
Wavelets Transform ◽  
Discrete Wavelets

The excellent spatial localization, frequency spread, and multi-resolution characteristics of the discrete wavelets transform (DWT), which are similar to the theoretical models of the human visual system, facilitated the development of many imperceptible and robust DWT-based watermarking algorithms. However, there has been extremely few proposed algorithms on optimized DWT-based image watermarking that can simultaneously provide perceptual transparency and robustness Since these two watermarking requirements are conflicting, in this paper we treat the DWT-based image watermarking problem as an optimization problem, and solve it using genetic algorithms. We demonstrate through the experimental results we obtained that optimal DWT-based image watermarking can be achieved only if watermarking has been applied at specific wavelet sub-bands and by using specific watermarkamplification values.

Watermarking Using Intelligent Methods

2014 ◽  
pp. 2675-2684
Author(s):  
Channapragada R. S. G. Rao ◽  
Vadlamani Ravi ◽  
Munaga. V. N. K. Prasad ◽  
E. V. Gopal
Keyword(s):  
Genetic Algorithms ◽  
Comparative Analysis ◽  
Digital Image ◽  
Image Watermarking ◽  
Digital Image Watermarking ◽  
Future Directions ◽  
Intelligent Methods ◽  
Work Done

This chapter presents a brief review of the work done during 1990-2013, in the application of intelligent techniques to digital image watermarking. The review has mainly focused on genetic algorithms area. The review is structured by considering the type of technique applied to solve the problem as an important dimension. Comparative analysis of different techniques is presented in this paper. Finally, the review is concluded with future directions.

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