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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Main Author: Amiya Halder
Format: Article
Language:English
Published: Computer Vision Center Press 2019-06-01
Series:ELCVIA Electronic Letters on Computer Vision and Image Analysis
Subjects:
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.
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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