Blur identification and image restoration based on evolutionary multiple object segmentation for digital auto-focusing
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Shin, JH | - |
dc.contributor.author | Hwang, SY | - |
dc.contributor.author | Kim, KM | - |
dc.contributor.author | Kang, JY | - |
dc.contributor.author | Lee, SW | - |
dc.contributor.author | Paik, J | - |
dc.date.available | 2020-06-03T07:21:02Z | - |
dc.date.issued | 2004-12 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.issn | 1611-3349 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/40232 | - |
dc.description.abstract | This paper presents a digital auto-focusing algorithm based on evolutionary multiple object segmentation method. Robust object segmentation can be conducted by the evolutionary algorithm on an image that has several differently out-of-focused objects. After segmentation is completed, point spread functions (PSFs) are estimated at differently out-of-focused objects and spatially adaptive image restorations are applied according to the estimated PSFs. Experimental results show that the proposed auto-focusing algorithm can efficiently remove the space-variant out-of-focus blur from the image with multiple, blurred objects. | - |
dc.format.extent | 13 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | SPRINGER-VERLAG BERLIN | - |
dc.title | Blur identification and image restoration based on evolutionary multiple object segmentation for digital auto-focusing | - |
dc.type | Article | - |
dc.identifier.doi | 10.1007/978-3-540-30503-3_50 | - |
dc.identifier.bibliographicCitation | COMBINATORIAL IMAGE ANALYSIS, PROCEEDINGS, v.3322, pp 656 - 668 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000225859100050 | - |
dc.identifier.scopusid | 2-s2.0-35048836564 | - |
dc.citation.endPage | 668 | - |
dc.citation.startPage | 656 | - |
dc.citation.title | COMBINATORIAL IMAGE ANALYSIS, PROCEEDINGS | - |
dc.citation.volume | 3322 | - |
dc.type.docType | Article; Proceedings Paper | - |
dc.publisher.location | 독일 | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Mathematics | - |
dc.relation.journalResearchArea | Imaging Science & Photographic Technology | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
dc.relation.journalWebOfScienceCategory | Mathematics, Applied | - |
dc.relation.journalWebOfScienceCategory | Imaging Science & Photographic Technology | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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