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Conference Paper: Image enlargement as an edge estimation

TitleImage enlargement as an edge estimation
Authors
Chow, C-KTsui, H-T
Issue Date2004
PublisherInstitute of Electrical and Electronics Engineers. The Journals web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000500
Citation
The 2004 IEEE International Joint Conference on Neural Networks (IJCNN 2004), Budapest, Hungary, 25-29 July 2004. In IEEE International Conference on Neural Networks Proceedings, 2004, v. 4, p. 2577-2581 How to Cite?
DOI: http://dx.doi.org/10.1109/IJCNN.2004.1381051
AbstractA robust image enlargement algorithm is presented in this paper. We formulate the image enlargement process as an edge information estimation process. In order to achieve a higher resolution, we first perform Pixel Duplication on the target image to form an initial high resolution image. Then the edge details of the enlarged image are estimated by using a novel neural network called "Agent Swarm Regression Network ASRN", which is trained by a set of low resolution (LR) / high resolution (HR) image patch pairs. Two benchmark images were used to verify the performance of the proposed algorithm. The results show that the enlarged images by the proposed algorithm are sharper than those by the conventional methods.
Persistent Identifierhttp://hdl.handle.net/10722/196647
ISBN
0-7803-8359-1
ISSN
1098-7576

 

DC FieldValueLanguage
dc.contributor.authorChow, C-K-
dc.contributor.authorTsui, H-T-
dc.date.accessioned2014-04-24T02:10:30Z-
dc.date.available2014-04-24T02:10:30Z-
dc.date.issued2004-
dc.identifier.citationThe 2004 IEEE International Joint Conference on Neural Networks (IJCNN 2004), Budapest, Hungary, 25-29 July 2004. In IEEE International Conference on Neural Networks Proceedings, 2004, v. 4, p. 2577-2581-
dc.identifier.isbn0-7803-8359-1-
dc.identifier.issn1098-7576-
dc.identifier.urihttp://hdl.handle.net/10722/196647-
dc.description.abstractA robust image enlargement algorithm is presented in this paper. We formulate the image enlargement process as an edge information estimation process. In order to achieve a higher resolution, we first perform Pixel Duplication on the target image to form an initial high resolution image. Then the edge details of the enlarged image are estimated by using a novel neural network called "Agent Swarm Regression Network ASRN", which is trained by a set of low resolution (LR) / high resolution (HR) image patch pairs. Two benchmark images were used to verify the performance of the proposed algorithm. The results show that the enlarged images by the proposed algorithm are sharper than those by the conventional methods.-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers. The Journals web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000500-
dc.relation.ispartofIEEE International Conference on Neural Networks Proceedings-
dc.rights©2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.titleImage enlargement as an edge estimation-
dc.typeConference_Paper-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/IJCNN.2004.1381051-
dc.identifier.scopuseid_2-s2.0-10944272674-
dc.identifier.volume4-
dc.identifier.spage2577-
dc.identifier.epage2581-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 160603 amended-
dc.identifier.issnl1098-7576-

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