Smoothing vs. sharpening of colour images: Together or separated

It is still a challenge to improve the efficiency and effectiveness of image denoising and enhancement methods. There exists denoising and enhancement methods that are able to improve visual quality of images. This is usually obtained by removing noise while sharpening details and improving edges co...

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Main Authors: Pérez-Benito Cristina, Morillas Samuel, Jordán Cristina, Conejero J. Alberto
Format: Article
Language:English
Published: Sciendo 2017-06-01
Series:Applied Mathematics and Nonlinear Sciences
Subjects:
Online Access:https://doi.org/10.21042/AMNS.2017.1.00025
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author Pérez-Benito Cristina
Morillas Samuel
Jordán Cristina
Conejero J. Alberto
author_facet Pérez-Benito Cristina
Morillas Samuel
Jordán Cristina
Conejero J. Alberto
author_sort Pérez-Benito Cristina
collection DOAJ
description It is still a challenge to improve the efficiency and effectiveness of image denoising and enhancement methods. There exists denoising and enhancement methods that are able to improve visual quality of images. This is usually obtained by removing noise while sharpening details and improving edges contrast. Smoothing refers to the case of denoising when noise follows a Gaussian distribution.
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spelling doaj.art-f222d72e3d09429ba0ceef82c41d1f9a2022-12-21T21:23:32ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562017-06-012129931610.21042/AMNS.2017.1.00025Smoothing vs. sharpening of colour images: Together or separatedPérez-Benito Cristina0Morillas Samuel1Jordán Cristina2Conejero J. Alberto3Instituto de Biomecánica de Valencia, Universitat Politècnica de València, València, SpainInstituto Universitario de Matemática Pura y Aplicada, Universitat Politècnica de València, València, SpainInstituto Universitario de Matemática Multidisciplinar, Universitat Politècnica de València, València, SpainInstituto Universitario de Matemática Pura y Aplicada, Universitat Politècnica de València, València, SpainIt is still a challenge to improve the efficiency and effectiveness of image denoising and enhancement methods. There exists denoising and enhancement methods that are able to improve visual quality of images. This is usually obtained by removing noise while sharpening details and improving edges contrast. Smoothing refers to the case of denoising when noise follows a Gaussian distribution.https://doi.org/10.21042/AMNS.2017.1.00025color imagesimage smoothingimage sharpening94a0868u10
spellingShingle Pérez-Benito Cristina
Morillas Samuel
Jordán Cristina
Conejero J. Alberto
Smoothing vs. sharpening of colour images: Together or separated
Applied Mathematics and Nonlinear Sciences
color images
image smoothing
image sharpening
94a08
68u10
title Smoothing vs. sharpening of colour images: Together or separated
title_full Smoothing vs. sharpening of colour images: Together or separated
title_fullStr Smoothing vs. sharpening of colour images: Together or separated
title_full_unstemmed Smoothing vs. sharpening of colour images: Together or separated
title_short Smoothing vs. sharpening of colour images: Together or separated
title_sort smoothing vs sharpening of colour images together or separated
topic color images
image smoothing
image sharpening
94a08
68u10
url https://doi.org/10.21042/AMNS.2017.1.00025
work_keys_str_mv AT perezbenitocristina smoothingvssharpeningofcolourimagestogetherorseparated
AT morillassamuel smoothingvssharpeningofcolourimagestogetherorseparated
AT jordancristina smoothingvssharpeningofcolourimagestogetherorseparated
AT conejerojalberto smoothingvssharpeningofcolourimagestogetherorseparated