NDLI: Robust Image Watermarking Using Coevolutionary Multi-objective Evolutionary Algorithm

Content Provider	IEEE Xplore Digital Library
Author	Yueh-Hong Chen Hsiang-Cheh Huang
Copyright Year	2012
Abstract	In this paper, we proposed a coevolutionary multi-objective genetic watermarking scheme based on the wavelet packet transform. Wavelet packet transform can be viewed as a generalization of the discrete wavelet transform and a best wavelet basis in the sense of some cost metric can be found within a large library of permissible bases. Coevolutionary multi-objective genetic algorithm is used to select an appropriate basis from permissible bases of wavelet packet transform and determine the number of wavelet coefficients for watermark embedding. To balance performance of watermark robustness as well as image quality, watermark embedding process is treated as a multi-objective optimization problem. The proposed scheme will generate a set of non-dominated solutions, where each solution associates with a best wavelet basis and the number of wavelet coefficients used to embed a watermark. Experimental results demonstrate that proposed method can increase the capability to resist image processing methods while keeping quality of the watermarked image acceptable.
Starting Page	238
Ending Page	241
File Size	273704
Page Count	4
File Format	PDF
ISBN	9781467317412
DOI	10.1109/IIH-MSP.2012.64
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-18
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	coevolutionary genetic algorithm Watermarking Wavelet packets Robustness Image watermarking multi-objective optimization Biological cells Genetic algorithms
Content Type	Text
Resource Type	Article

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