Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.13091/12
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Abas, Asan İhsan | - |
dc.contributor.author | Baykan, Nurdan Akhan | - |
dc.date.accessioned | 2021-12-13T10:19:38Z | - |
dc.date.available | 2021-12-13T10:19:38Z | - |
dc.date.issued | 2021 | - |
dc.identifier.issn | 0765-0019 | - |
dc.identifier.issn | 1958-5608 | - |
dc.identifier.uri | https://doi.org/10.18280/ts.380201 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.13091/12 | - |
dc.description.abstract | Focus is limited and singular in many image capture devices. Therefore, different focused objects at different distances are obtained in a single image taken. Image fusion can be defined as the acquisition of multiple focused objects in a single image by combining important information from two or more images into a single image. In this paper, a new multi-focus image fusion method based on Bat Algorithm (BA) is presented in a Multi-Scale Transform (MST) to overcome limitations of standard MST Transform. Firstly, a specific MST (Laplacian Pyramid or Curvelet Transform) is performed on the two source images to obtain their low-pass and high-pass bands. Secondly, optimization algorithms were used to find out optimal weights for coefficients in low-pass bands to improve the accuracy of the fusion image and finally the fused multi-focus image is reconstructed by the inverse MST. The experimental results are compared with different methods using reference and non-reference evaluation metrics to evaluate the performance of image fusion methods. | en_US |
dc.language.iso | en | en_US |
dc.publisher | INT INFORMATION & ENGINEERING TECHNOLOGY ASSOC | en_US |
dc.relation.ispartof | TRAITEMENT DU SIGNAL | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Particle Swarm Optimization | en_US |
dc.subject | Bat Algorithm | en_US |
dc.subject | Laplacian Pyramid | en_US |
dc.subject | Curvelet Transform | en_US |
dc.subject | Image Fusion | en_US |
dc.subject | Nonsubsampled Contourlet Transform | en_US |
dc.subject | Self | en_US |
dc.title | Multi-Focus Image Fusion with Multi-Scale Transform Optimized by Metaheuristic Algorithms | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.18280/ts.380201 | - |
dc.identifier.scopus | 2-s2.0-85107926903 | en_US |
dc.department | Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü | en_US |
dc.authorid | IHSAN ABAS, ASAN/0000-0002-9977-6663 | - |
dc.identifier.volume | 38 | en_US |
dc.identifier.issue | 2 | en_US |
dc.identifier.startpage | 247 | en_US |
dc.identifier.endpage | 259 | en_US |
dc.identifier.wos | WOS:000652178700001 | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.authorscopusid | 57224582951 | - |
dc.authorscopusid | 35091134000 | - |
dc.identifier.scopusquality | Q3 | - |
item.grantfulltext | open | - |
item.openairetype | Article | - |
item.fulltext | With Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.languageiso639-1 | en | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | 02.03. Department of Computer Engineering | - |
Appears in Collections: | Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections |
Files in This Item:
File | Size | Format | |
---|---|---|---|
38.02_01.pdf | 2.51 MB | Adobe PDF | View/Open |
CORE Recommender
SCOPUSTM
Citations
3
checked on Apr 27, 2024
WEB OF SCIENCETM
Citations
9
checked on Apr 27, 2024
Page view(s)
134
checked on Apr 29, 2024
Download(s)
56
checked on Apr 29, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.