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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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Sciendo
2017-06-01
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Series: | Applied Mathematics and Nonlinear Sciences |
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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. |
first_indexed | 2024-12-18T02:46:54Z |
format | Article |
id | doaj.art-f222d72e3d09429ba0ceef82c41d1f9a |
institution | Directory Open Access Journal |
issn | 2444-8656 |
language | English |
last_indexed | 2024-12-18T02:46:54Z |
publishDate | 2017-06-01 |
publisher | Sciendo |
record_format | Article |
series | Applied Mathematics and Nonlinear Sciences |
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 |