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An optimal image watermarking approach based on a multi-objective genetic algorithm

Wang, Jun, Hong, Peng and Shi, Peng (2011) An optimal image watermarking approach based on a multi-objective genetic algorithm. Information Sciences, 181 (24). pp. 5501-5514. ISSN 0020-0255

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Abstract

In recent years, image watermarking has attracted much attention as an effective copyright protection technique for digital images. By hiding watermark information in digital images, image watermarks can provide copyright protection. Usually, digital watermarking has two performance measures: imperceptibility and robustness. However, embedding watermarks into digital images can degrade the images’ visual quality, and it is desirable for the degradation to not be easily noticed. Therefore, imperceptibility denotes the idea that an embedded watermark should be invisible to the human visual system (HVS). During use and distribution, watermarked images may suffer from distortions caused by common signal processing operations, lossy image compression, and other attacks; thus, watermarks should be robustly resistant to image distortions. Therefore, robustness means that watermarks should be effectively detected after undergoing most common signal processing operations or attacks. In the past ten years, many image watermarking methods have been proposed.

Item Type: Article
Uncontrolled Keywords: ResPubID24841, multi-objective genetic algorithm, variable-length mechanism, image watermarking, imperceptibility, robustness, watermarking parameters, embedding positions, watermarking systems
Subjects: Faculty/School/Research Centre/Department > Institute for Logistics and Supply Chain Management (ILSCM)
FOR Classification > 0801 Artificial Intelligence and Image Processing
SEO Classification > 970118 Expanding Knowledge in Law and Legal Studies
Depositing User: VUIR
Date Deposited: 12 Mar 2013 23:12
Last Modified: 12 Mar 2013 23:12
URI: http://vuir.vu.edu.au/id/eprint/10344
DOI: https://doi.org/10.1016/j.ins.2011.07.040
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Citations in Scopus: 36 - View on Scopus

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