Multi block based image watermarking in wavelet domain using genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7060

@Article{journals/iajit/AbbasiSA14,

• author = "Almas Abbasi and Woo Chaw Seng and Imran Shafiq Ahmad",
• title = "Multi block based image watermarking in wavelet domain using genetic programming",
• journal = "The International Arab Journal of Information Technology",
• year = "2014",
• number = "6",
• volume = "11",
• pages = "582--589",
• keywords = "genetic algorithms, genetic programming, Robust watermark, wavelet domain, digital watermarking, HVS",
• bibdate = "2014-11-03",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/journals/iajit/iajit11.html#AbbasiSA14",
• URL = "http://ccis2k.org/iajit/?option=com_content&task=blogcategory&id=94&Itemid=364",
• URL = "https://www.semanticscholar.org/paper/Multi-block-based-image-watermarking-in-wavelet-do-Abbasi-Seng/f7172a8a0b6d15ddedf81fc5a98117ff2078a89c",
• size = "8 pages",
• abstract = "The increased use of the Internet in sharing and distribution of digital data makes it is very difficult to maintain copyright and ownership of data. Digital watermarking offers a method for authentication and copyright protection. We propose a blind, still image, Genetic Programming (GP) based robust watermark scheme for copyright protection. In this scheme, pseudorandom sequence of real number is used as watermark. It is embedded into perceptually significant blocks of vertical and horizontal sub-band in wavelet domain to achieve robustness. GP is used to structure the watermark for improved imperceptibility by considering the Human Visual System (HVS) characteristics such as luminance sensitivity and self and neighbourhood contrast masking. We also present a GP function which determines the optimal watermark strength for selected coefficients irrespective of the block size. Watermark detection is performed using correlation. Our experiments show that in proposed scheme the watermark resists image processing attack, noise attack, geometric attack and cascading attack. We compare our proposed technique with other two genetic perceptual model based techniques. Comparison results show that our multiblock based technique is approximately 5percent, and 23percent more robust, then the other two compared techniques.",

}

Genetic Programming entries for Almas Abbasi Woo Chaw Seng Imran Shafiq Ahmad

Citations