File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: A variational method for multiple-image blending

TitleA variational method for multiple-image blending
Authors
Keywordsweighting mask functions
Alternating minimization
energy functional
image blending
variational approach
Issue Date2012
Citation
IEEE Transactions on Image Processing, 2012, v. 21, n. 4, p. 1809-1822 How to Cite?
AbstractThe main aim of this paper is to develop an algorithm for blending of multiple images in the image-stitching process. Our idea is to propose a variational method containing an energy functional to determine both a stitched image and weighting mask functions of multiple input images for image blending. The existence of the solution of the proposed energy functional is shown. We also present an alternative minimizing algorithm to solve the proposed model numerically and show the convergence of this algorithm. Experimental results show that the proposed model works effectively and efficiently and that the proposed method is competitive with the tested existing methods under noisy conditions. © 2011 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/276916
ISSN
2023 Impact Factor: 10.8
2023 SCImago Journal Rankings: 3.556
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWang, Wei-
dc.contributor.authorNg, Michael K.-
dc.date.accessioned2019-09-18T08:35:03Z-
dc.date.available2019-09-18T08:35:03Z-
dc.date.issued2012-
dc.identifier.citationIEEE Transactions on Image Processing, 2012, v. 21, n. 4, p. 1809-1822-
dc.identifier.issn1057-7149-
dc.identifier.urihttp://hdl.handle.net/10722/276916-
dc.description.abstractThe main aim of this paper is to develop an algorithm for blending of multiple images in the image-stitching process. Our idea is to propose a variational method containing an energy functional to determine both a stitched image and weighting mask functions of multiple input images for image blending. The existence of the solution of the proposed energy functional is shown. We also present an alternative minimizing algorithm to solve the proposed model numerically and show the convergence of this algorithm. Experimental results show that the proposed model works effectively and efficiently and that the proposed method is competitive with the tested existing methods under noisy conditions. © 2011 IEEE.-
dc.languageeng-
dc.relation.ispartofIEEE Transactions on Image Processing-
dc.subjectweighting mask functions-
dc.subjectAlternating minimization-
dc.subjectenergy functional-
dc.subjectimage blending-
dc.subjectvariational approach-
dc.titleA variational method for multiple-image blending-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TIP.2011.2176952-
dc.identifier.pmid22128006-
dc.identifier.scopuseid_2-s2.0-84859012685-
dc.identifier.volume21-
dc.identifier.issue4-
dc.identifier.spage1809-
dc.identifier.epage1822-
dc.identifier.isiWOS:000302181800031-
dc.identifier.issnl1057-7149-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats