Experiments on Genetic Programming Based Image Artefact Detection

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Chang:2013:IIH-MSP,
  author =       "Feng-Cheng Chang and Hsiang-Cheh Huang",
  booktitle =    "Ninth International Conference on Intelligent
                 Information Hiding and Multimedia Signal Processing
                 (IIH-MSP 2013)",
  title =        "Experiments on Genetic Programming Based Image
                 Artefact Detection",
  year =         "2013",
  month =        oct,
  pages =        "9--12",
  abstract =     "One of the interesting image processing applications
                 is to detect and/or restore a damaged image. Because
                 image damage would vary in different ways, a
                 straightforward method is to use a program to represent
                 the damage. Then, the type of artefact can be searched
                 by applying programs to the original image and
                 comparing with the target image. The run-time
                 environment of a program is the structure of the
                 execution resources. In this paper, we define a
                 cellular automaton based structure as the run-time
                 environment and use genetic programming (GP) to find
                 the proper program for the given image artefacts. The
                 results show that an effective GP engine requires
                 careful configuration. The important lesson learnt from
                 the experiments is also discussed.",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/IIH-MSP.2013.11",
  notes =        "Also known as \cite{6846567}",
}

Genetic Programming entries for Feng-Cheng Chang Hsiang-Cheh Huang

Citations