Intelligent perceptual shaping of a digital watermark: Exploiting Characteristics of human visual system

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@Article{khan:2006:IJKBIE,

• author = "Asifullah Khan and Anwar M. Mirza and Abdul Majid",
• title = "Intelligent perceptual shaping of a digital watermark: Exploiting Characteristics of human visual system",
• journal = "International Journal of Knowledge-Based and Intelligent Engineering Systems",
• year = "2006",
• volume = "10",
• number = "3",
• pages = "213--223",
• keywords = "genetic algorithms, genetic programming, Watermarking, perceptual model, Human Visual System (HVS), Discrete Cosine Transform (DCT), spread spectrum and JPEG",
• ISSN = "1327-2314",
• URL = "http://content.iospress.com/articles/international-journal-of-knowledge-based-and-intelligent-engineering-systems/kes00074",
• DOI = "doi:10.3233/KES-2006-10304",
• abstract = "we present a method for developing a Genetic Perceptual Model (GPM) applicable to a watermarking system. The proposed technique exploits the characteristics of human visual system using a Genetic Programming (GP) approach. We employ a tradeoff between watermark robustness and imperceptibility, as an optimisation criterion in the GP search. The resultant GPM is a combination of frequency, luminance sensitivity and contrast masking, enabling us to shape the watermark according to the cover image. Our investigations have shown that the evolved GPM provides maximum allowable imperceptible alterations to the Discrete Cosine Transform coefficients of a cover image. Comparative studies in terms of watermark imperceptibility and bit correct ratio performance have been carried out. The performance of the GPM has been analysed for various watermarking schemes.",

}

Genetic Programming entries for Asifullah Khan Anwar M Mirza Abdul Majid

Citations