Fuzzy logic approach in salt and pepper noise

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F22%3AA2302CD4" target="_blank" >RIV/61988987:17610/22:A2302CD4 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S0045790622004955" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0045790622004955</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.compeleceng.2022.108264." target="_blank" >10.1016/j.compeleceng.2022.108264.</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Fuzzy logic approach in salt and pepper noise

Popis výsledku v původním jazyce

This paper describes a new method based on fuzzy logic to denoising images corrupted by salt and pepper noise. In this approach, noisy pixels are detected via fuzzy IF-THEN rules and restored with a multi-level fuzzy filter. For reducing the amount of noise corruption, the filtering process begins with a window of size $3times3$ centered at the noisy pixels. Then, a floating window in the form of fuzzy compositions is used to the remaining unrestored pixels. A fuzzy logic controller is employed for improving the restoration results. By comparing this method with many well-established denoising methods, we have shown that the mentioned technique has high accuracy and reasonably low complexity at very high noise densities with preserving the structure and edge information of images.

Název v anglickém jazyce

Fuzzy logic approach in salt and pepper noise

Popis výsledku anglicky

This paper describes a new method based on fuzzy logic to denoising images corrupted by salt and pepper noise. In this approach, noisy pixels are detected via fuzzy IF-THEN rules and restored with a multi-level fuzzy filter. For reducing the amount of noise corruption, the filtering process begins with a window of size $3times3$ centered at the noisy pixels. Then, a floating window in the form of fuzzy compositions is used to the remaining unrestored pixels. A fuzzy logic controller is employed for improving the restoration results. By comparing this method with many well-established denoising methods, we have shown that the mentioned technique has high accuracy and reasonably low complexity at very high noise densities with preserving the structure and edge information of images.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10102 - Applied mathematics

Projekt

<a href="/cs/project/EF17_049%2F0008414" target="_blank" >EF17_049/0008414: Centrum pro výzkum a vývoj metod umělé intelligence v automobilovém průmyslu regionu</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

COMPUT ELECTR ENG

ISSN

0045-7906

e-ISSN

—

Svazek periodika

—

Číslo periodika v rámci svazku

108264

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

16

Strana od-do

1-16

Kód UT WoS článku

000839322000003

EID výsledku v databázi Scopus

2-s2.0-85135409034