A novel noise-free pixels based impulse noise filtering

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@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