Energy-Based Coefficient Selection for Digital Watermarking in Wavelet Domain

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@Article{Jabeen:2013:IJICA,

• author = "Fouzia Jabeen and Zahoor Jan and Farhana Jahangir",
• title = "Energy-Based Coefficient Selection for Digital Watermarking in Wavelet Domain",
• journal = "International Journal of Innovative Computing and Applications",
• year = "2013",
• volume = "5",
• number = "1",
• pages = "18--25",
• note = "Special Issue on: Innovative Computing in Image Processing and Applications",
• keywords = "genetic algorithms, genetic programming, Discrete Wavelet Transform (DWT), Perceptual mask, Imperceptibility, Robustness, Luminance, Contrast, Noise visibility Function",
• ISSN = "1751-648X",
• DOI = "doi:10.1504/IJICA.2013.052352",
• abstract = "The massive spreading of broadband networks and new developments in digital technology has made owner-ship protection and authorisation of digital multimedia a very important issue. The reason is the availability of powerful tools for editing, lossless copying and transmission of digital multimedia such as images. Image watermarking is now an effective solution for the problem of authentication and protection of copyrighted image content. In this paper Discrete Wavelet Transform (DWT) based watermarking technique is proposed in which mean energy of the each of 32x32 block in the CH and CV subbands is calculated and range of coefficients that exceed the mean energy of the block are selected for watermark embedding. Watson Perceptual Distortion Control Model is considered to keep the Perceptual quality of the image and Genetic Programming (GP) is used to provide optimum watermarking level for the selected coefficients. The results show that there is almost no difference between original and watermarked image demonstrating key feature of imperceptibility. The technique has been tested and proves to be effective against a set of malicious attacks.",
• notes = "Acceptance Date: 22 Nov 2011 IJICA http://www.inderscience.com/jhome.php?jcode=ijica

  Department of Computer Science, Frontier Women University, Peshawar 25000, Pakistan Department of Computer Science, Abdul Wali Khan University, Noshera Mardan Road, Mardan 23200, Pakistan

  Frontier Women University, Naz Cinema Road, Opposite Qila Bala Hisar, Peshawar City 25000, Pakistan See also \cite{Jabeen:2010:ICICA}",

}

Genetic Programming entries for Fauzia Jabeen Zahoor Jan Farhana Jahangir

Citations