Distortion Estimation in Digital Image Watermarking using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Labiba Gilani and Asifullah Khan and Anwar M. Mirza",
  title =        "Distortion Estimation in Digital Image Watermarking
                 using Genetic Programming",
  journal =      "International Journal of Applied Science, Engineering
                 and Technology",
  year =         "2006",
  volume =       "15",
  number =       "20",
  pages =        "103--108",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.waset.org/ijaset/v15/v15-20.pdf",
  size =         "6 pages",
  abstract =     "This paper introduces a technique of distortion
                 estimation in image watermarking using Genetic
                 Programming (GP). The distortion is estimated by
                 considering the problem of obtaining a distorted
                 watermarked signal from the original watermarked signal
                 as a function regression problem. This function
                 regression problem is solved using GP, where the
                 original watermarked signal is considered as an
                 independent variable. GP-based distortion estimation
                 scheme is checked for Gaussian attack and Jpeg
                 compression attack. We have used Gaussian attacks of
                 different strengths by changing the standard deviation.
                 JPEG compression attack is also varied by adding
                 various distortions. Experimental results demonstrate
                 that the proposed technique is able to detect the
                 watermark even in the case of strong distortions and is
                 more robust against attacks.",
  notes =        "http://www.waset.org/ijaset/ Lena",

Genetic Programming entries for Labiba Gilani Asifullah Khan Anwar M Mirza