Evaluation of F-Transform Based Measures of Image Sharpness

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F18%3AA2001XG1" target="_blank" >RIV/61988987:17610/18:A2001XG1 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/8716167" target="_blank" >https://ieeexplore.ieee.org/document/8716167</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/SCIS-ISIS.2018.00057" target="_blank" >10.1109/SCIS-ISIS.2018.00057</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Evaluation of F-Transform Based Measures of Image Sharpness

Popis výsledku v původním jazyce

During our research, we have presented a novel approach for multi-focus image fusion based on new image sharpness measures built on F-Transform. We have already presented that F-Transform based sharpness measure subjectively give good results in edge detection and sharpness evaluation. In order to continue with our research, we need to prove that such F-Transform based measures are generally usable as sharpness measures in image processing. So we aimed at our measures trying to evaluate their stability and robustness against noise. In the contribution, we present theoretical background and properties requested to be satisfied by sound sharpness measures. Then, we presented one previously introduced and one novel F-Transform based sharpness measure, and according to the presented properties, we verified that the proposed measures are fulfilling stated properties. The verification is done over experimental and real-life images and is evaluated referring to the standard simple sharpness measures. The result is that both F-Transform based proposed measures supports presented properties and can be generally used as image sharpness measures.

Název v anglickém jazyce

Evaluation of F-Transform Based Measures of Image Sharpness

Popis výsledku anglicky

During our research, we have presented a novel approach for multi-focus image fusion based on new image sharpness measures built on F-Transform. We have already presented that F-Transform based sharpness measure subjectively give good results in edge detection and sharpness evaluation. In order to continue with our research, we need to prove that such F-Transform based measures are generally usable as sharpness measures in image processing. So we aimed at our measures trying to evaluate their stability and robustness against noise. In the contribution, we present theoretical background and properties requested to be satisfied by sound sharpness measures. Then, we presented one previously introduced and one novel F-Transform based sharpness measure, and according to the presented properties, we verified that the proposed measures are fulfilling stated properties. The verification is done over experimental and real-life images and is evaluated referring to the standard simple sharpness measures. The result is that both F-Transform based proposed measures supports presented properties and can be generally used as image sharpness measures.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10102 - Applied mathematics

Projekt

<a href="/cs/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

Joint International Conference on Soft Computing and Intelligent Systems SCIS and International Symposium on Advanced Intelligent Systems ISIS

ISBN

978-1-5386-2633-7

ISSN

2377-6870

e-ISSN

—

Počet stran výsledku

6

Strana od-do

281-286

Název nakladatele

IEEE

Místo vydání

New York

Místo konání akce

Toyama

Datum konání akce

5. 12. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000470750300046