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,
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author = "Syed Gibran Javed and Abdul Majid and Nabeela Kausar",
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booktitle = "13th International Conference on Frontiers of
Information Technology (FIT)",
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title = "Combining Robust Statistical and {1D} Laplacian
Operators Using Genetic Programming to Detect and
Remove Impulse Noise from Images",
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year = "2015",
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pages = "18--23",
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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.",
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keywords = "genetic algorithms, genetic programming",
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DOI = "doi:10.1109/FIT.2015.15",
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month = dec,
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notes = "Also known as \cite{7420969}",
- }
Genetic Programming entries for
Syed Gibran Javed
Abdul Majid
Nabeela Kausar
Citations