Multi-focus image fusion using fractal dimension

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F20%3A50017058" target="_blank" >RIV/62690094:18450/20:50017058 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.osapublishing.org/ao/abstract.cfm?uri=ao-59-19-5642" target="_blank" >https://www.osapublishing.org/ao/abstract.cfm?uri=ao-59-19-5642</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1364/AO.391234" target="_blank" >10.1364/AO.391234</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Multi-focus image fusion using fractal dimension

Popis výsledku v původním jazyce

Multi-focus image fusion is defined as &quot;the combination of a group of partially focused images of a same scene with the objective of producing a fully focused image.&quot; Normally, transform-domain-based image fusion methods preserve the textures and edges in the blend image, but many are translation variant. The translation-invariant transforms produce the same size approximation and detail images, which are more convenient to devise the fusion rules. In this work, a translation-invariant multi-focus image fusion approach using the a-trous wavelet transform is introduced, which uses fractal dimension as a clarity measure for the approximation coefficients and Otsu&apos;s threshold to fuse the detail coefficients. The subjective assessment of the proposed method is carried out using the fusion results of nine state-of-the-art methods. On the other hand, eight fusion quality metrics are considered for the objective assessment. The results of subjective and objective assessment on grayscale and color multi-focus image pairs illustrate that the proposed method is competitive and even better than some of the existing methods. (C) 2020 Optical Society of America

Název v anglickém jazyce

Multi-focus image fusion using fractal dimension

Popis výsledku anglicky

Multi-focus image fusion is defined as &quot;the combination of a group of partially focused images of a same scene with the objective of producing a fully focused image.&quot; Normally, transform-domain-based image fusion methods preserve the textures and edges in the blend image, but many are translation variant. The translation-invariant transforms produce the same size approximation and detail images, which are more convenient to devise the fusion rules. In this work, a translation-invariant multi-focus image fusion approach using the a-trous wavelet transform is introduced, which uses fractal dimension as a clarity measure for the approximation coefficients and Otsu&apos;s threshold to fuse the detail coefficients. The subjective assessment of the proposed method is carried out using the fusion results of nine state-of-the-art methods. On the other hand, eight fusion quality metrics are considered for the objective assessment. The results of subjective and objective assessment on grayscale and color multi-focus image pairs illustrate that the proposed method is competitive and even better than some of the existing methods. (C) 2020 Optical Society of America

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10306 - Optics (including laser optics and quantum optics)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název periodika

APPLIED OPTICS

ISSN

1559-128X

e-ISSN

—

Svazek periodika

59

Číslo periodika v rámci svazku

19

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

14

Strana od-do

5642-5655

Kód UT WoS článku

000547520400001

EID výsledku v databázi Scopus

2-s2.0-85087615146