An Adaptive Non-linear Statistical Salt-and-Pepper Noise Removal Algorithm using Interquartile Range
This paper presents a salt-and-pepper noise removal scheme using modified mean filter. The proposed method is based on a simple basic concepts of mean filter, where each mean value is calculated from the mathematical formula of interquartile range (IQR). It replaces the noisy pixels using IQR base...
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Format: | Article |
Language: | English |
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Computer Vision Center Press
2019-06-01
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Series: | ELCVIA Electronic Letters on Computer Vision and Image Analysis |
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Online Access: | https://elcvia.cvc.uab.es/article/view/1145 |
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author | Amiya Halder |
author_facet | Amiya Halder |
author_sort | Amiya Halder |
collection | DOAJ |
description | This paper presents a salt-and-pepper noise removal scheme using modified mean filter. The proposed method is based on a simple basic concepts of mean filter, where each mean value is calculated from the mathematical formula of interquartile range (IQR). It replaces the noisy pixels using IQR based mathematical formula applied on the filter window. Experimental results are presented to demonstrate the efficiency (quality of the image) of the method compared to other existing different types of impulse noise removal techniques. |
first_indexed | 2024-12-13T21:32:28Z |
format | Article |
id | doaj.art-a2a534b9f10a4aec864ce40355814227 |
institution | Directory Open Access Journal |
issn | 1577-5097 |
language | English |
last_indexed | 2024-12-13T21:32:28Z |
publishDate | 2019-06-01 |
publisher | Computer Vision Center Press |
record_format | Article |
series | ELCVIA Electronic Letters on Computer Vision and Image Analysis |
spelling | doaj.art-a2a534b9f10a4aec864ce403558142272022-12-21T23:30:46ZengComputer Vision Center PressELCVIA Electronic Letters on Computer Vision and Image Analysis1577-50972019-06-0118110.5565/rev/elcvia.1145333An Adaptive Non-linear Statistical Salt-and-Pepper Noise Removal Algorithm using Interquartile RangeAmiya Halder0Department of Computer Science and Engineering, St. Thomas College of Engineering and Technology, 4, D.H. Road, Kolkata - 700023.This paper presents a salt-and-pepper noise removal scheme using modified mean filter. The proposed method is based on a simple basic concepts of mean filter, where each mean value is calculated from the mathematical formula of interquartile range (IQR). It replaces the noisy pixels using IQR based mathematical formula applied on the filter window. Experimental results are presented to demonstrate the efficiency (quality of the image) of the method compared to other existing different types of impulse noise removal techniques.https://elcvia.cvc.uab.es/article/view/1145Salt-and-pepper noiseMean filterIQRPeak signal-to-noise ratio |
spellingShingle | Amiya Halder An Adaptive Non-linear Statistical Salt-and-Pepper Noise Removal Algorithm using Interquartile Range ELCVIA Electronic Letters on Computer Vision and Image Analysis Salt-and-pepper noise Mean filter IQR Peak signal-to-noise ratio |
title | An Adaptive Non-linear Statistical Salt-and-Pepper Noise Removal Algorithm using Interquartile Range |
title_full | An Adaptive Non-linear Statistical Salt-and-Pepper Noise Removal Algorithm using Interquartile Range |
title_fullStr | An Adaptive Non-linear Statistical Salt-and-Pepper Noise Removal Algorithm using Interquartile Range |
title_full_unstemmed | An Adaptive Non-linear Statistical Salt-and-Pepper Noise Removal Algorithm using Interquartile Range |
title_short | An Adaptive Non-linear Statistical Salt-and-Pepper Noise Removal Algorithm using Interquartile Range |
title_sort | adaptive non linear statistical salt and pepper noise removal algorithm using interquartile range |
topic | Salt-and-pepper noise Mean filter IQR Peak signal-to-noise ratio |
url | https://elcvia.cvc.uab.es/article/view/1145 |
work_keys_str_mv | AT amiyahalder anadaptivenonlinearstatisticalsaltandpeppernoiseremovalalgorithmusinginterquartilerange AT amiyahalder adaptivenonlinearstatisticalsaltandpeppernoiseremovalalgorithmusinginterquartilerange |