<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p><p>Both operations, smoothing noise and sharpening, have an opposite nature. Therefore, there are few approaches that simultaneously respond to both goals. We will review these methods and we will also provide a detailed study of the state-of-the-art methods that attack both problems in colour images, separately.</p></abstract>

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.Both operations, smoothing noise and sharpening, have an opposite nature. Therefore, there are few approaches that simultaneously respond to both goals. We will review these methods and we will also provide a detailed study of the state-of-the-art methods that attack both problems in colour images, separately.

Smoothing vs. sharpening of colour images: Together or separated

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"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...

Smoothing vs. sharpening of colour images: Together or separated

Data publikacji: 30 cze 2017

Zakres stron: 299 - 316

Otrzymano: 16 lut 2017

Przyjęty: 30 cze 2017

DOI: https://doi.org/10.21042/AMNS.2017.1.00025

Słowa kluczowe
Color images, image smoothing, image sharpening

© 2017 Cristina Pérez-Benito, Samuel Morillas, Cristina Jordán, J. Alberto Conejero, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Smoothing vs. sharpening of colour images: Together or separated

Data publikacji: 30 cze 2017

Zakres stron: 299 - 316

Otrzymano: 16 lut 2017

Przyjęty: 30 cze 2017

DOI: https://doi.org/10.21042/AMNS.2017.1.00025

Słowa kluczoweColor images, image smoothing, image sharpening

© 2017 Cristina Pérez-Benito, Samuel Morillas, Cristina Jordán, J. Alberto Conejero, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Słowa kluczowe
Color images, image smoothing, image sharpening