A novel noise-free pixels based impulse noise filtering

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Majid:2010:ieeeICIP,
  author =       "Abdul Majid and Muhammad Tariq Mahmood and 
                 Tae-Sun Choi",
  title =        "A novel noise-free pixels based impulse noise
                 filtering",
  booktitle =    "17th IEEE International Conference on Image Processing
                 (ICIP 2010)",
  year =         "2010",
  month =        "26-29 " # sep,
  pages =        "125--128",
  abstract =     "Generally, impulse noise filtering schemes consider
                 all pixels within a large neighbourhood. However, the
                 estimate from all pixels within the neighborhood may
                 not be accurate. Moreover, large window may remove
                 edges and fine details. In contrast to this approach,
                 we propose iterative impulse noise removal scheme that
                 emphasises on few noise-free pixels within a small
                 neighbourhood. This iterative process continues until
                 all noisy pixels are replaced with the estimated
                 values. To estimate the optimal value of noisy pixel,
                 we developed genetic programming (GP) based estimator
                 using noise-free pixels. The estimator is constituent
                 of useful local pixels information. Experimental
                 results show that the proposed scheme is capable of
                 removing impulse noise effectively while preserving the
                 fine details. Especially, our approach has shown
                 effectiveness against high impulse noise density.",
  keywords =     "genetic algorithms, genetic programming, GP based
                 estimator, impulse noise density, impulse noise
                 filtering, iterative impulse noise removal, iterative
                 process, noise-free pixel, filtering theory, image
                 denoising, impulse noise, iterative methods",
  DOI =          "doi:10.1109/ICIP.2010.5651975",
  ISSN =         "1522-4880",
  notes =        "Sch. of Inf. & Mechatron., Gwangju Inst. of Sci. &
                 Technol., Gwangju, South Korea. Also known as
                 \cite{5651975}",
}

Genetic Programming entries for Abdul Majid Muhammad Tariq Mahmood Tae Sun Choi

Citations