Combining Robust Statistical and 1D Laplacian Operators Using Genetic Programming to Detect and Remove Impulse Noise from Images

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@InProceedings{Javed:2015:FIT,

• author = "Syed Gibran Javed and Abdul Majid and Nabeela Kausar",
• booktitle = "13th International Conference on Frontiers of Information Technology (FIT)",
• title = "Combining Robust Statistical and {1D} Laplacian Operators Using Genetic Programming to Detect and Remove Impulse Noise from Images",
• year = "2015",
• pages = "18--23",
• abstract = "In this paper, genetic programming (GP) based intelligent scheme is proposed for the denoising of digital images from impulse noise. Mixed impulse noise model which comprises a mixture of both salt & pepper, and uniform impulse noise, is considered. The proposed scheme works in two stages. First stage detects impulse noise in the image through a novel single-stage GP detector which is based on the extraction of robust statistical features and convolution of corrupted image with 1D Laplacian operators. The second stage consists of a GP based estimator that removes the noise by estimating the pixel value. This estimator approximates the pixel value by calculating the statistical features in the neighbourhood of noise-free pixels. The idea of developing a single-stage detector and estimator is very effective in the removal of impulse noise. The proposed approach is tested on a variety of standard images and its comparison with other relevant techniques show that the performance of the proposed approach is better.",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/FIT.2015.15",
• month = dec,
• notes = "Also known as \cite{7420969}",

}

Genetic Programming entries for Syed Gibran Javed Abdul Majid Nabeela Kausar

Citations