Multi-object digital auto-focusing using image fusion
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Shin, J | - |
dc.contributor.author | Maik, V | - |
dc.contributor.author | Lee, J | - |
dc.contributor.author | Paik, Joonki | - |
dc.date.available | 2020-06-03T06:21:27Z | - |
dc.date.issued | 2005-09 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.issn | 1611-3349 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/40227 | - |
dc.description.abstract | This paper proposes a novel digital auto-focusing algorithm using image fusion, which restores an out-of-focus image with multiple, differently out-of-focus objects. The proposed auto-focusing algorithm consists of (i) building a prior set of point spread functions (PSFs), (ii) image restoration, and (iii) fusion of the restored images. Instead of designing an image restoration filter for multi-object auto-focusing, we propose an image fusion-based auto-focusing algorithm by fusing multiple, restored images based on prior estimated set of PSFs. The prior estimated PSFs overcome heavy computational overhead and make the algorithm suitable for real-time applications. By utilizing both redundant and complementary information provided by different images, the proposed fusion algorithm can restore images with multiple, out-of-focus objects. Experimental results show the performance of the proposed auto-focusing algorithm. | - |
dc.format.extent | 8 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | SPRINGER-VERLAG BERLIN | - |
dc.title | Multi-object digital auto-focusing using image fusion | - |
dc.type | Article | - |
dc.identifier.doi | 10.1007/11558484_26 | - |
dc.identifier.bibliographicCitation | ADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS, PROCEEDINGS, v.3708, pp 202 - 209 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000233133200026 | - |
dc.identifier.scopusid | 2-s2.0-33646183298 | - |
dc.citation.endPage | 209 | - |
dc.citation.startPage | 202 | - |
dc.citation.title | ADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS, PROCEEDINGS | - |
dc.citation.volume | 3708 | - |
dc.type.docType | Article; Proceedings Paper | - |
dc.publisher.location | 독일 | - |
dc.subject.keywordPlus | IDENTIFICATION | - |
dc.subject.keywordPlus | RESTORATION | - |
dc.subject.keywordPlus | BLURS | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Imaging Science & Photographic Technology | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
dc.relation.journalWebOfScienceCategory | Imaging Science & Photographic Technology | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
84, Heukseok-ro, Dongjak-gu, Seoul, Republic of Korea (06974)02-820-6194
COPYRIGHT 2019 Chung-Ang University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.