2010年6月
Sparse Bayesian Learning of Filters for Efficient Image Expansion
IEEE Transactions on Image Processing
- ,
- ,
- 巻
- 19
- 号
- 6
- 開始ページ
- 1480
- 終了ページ
- 1490
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.1109/TIP.2010.2043010
- 出版者・発行元
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
We propose a framework for expanding a given image using an interpolator that is trained in advance with training data, based on sparse Bayesian estimation for determining the optimal and compact support for efficient image expansion. Experiments on test data show that learned interpolators are compact yet superior to classical ones. © 2010 IEEE.
- リンク情報
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- DOI
- https://doi.org/10.1109/TIP.2010.2043010
- PubMed
- https://www.ncbi.nlm.nih.gov/pubmed/20215080
- Web of Science
- https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000277773200008&DestApp=WOS_CPL
- Scopus
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=77952629415&origin=inward
- Scopus Citedby
- https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=77952629415&origin=inward
- ID情報
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- DOI : 10.1109/TIP.2010.2043010
- ISSN : 1057-7149
- eISSN : 1941-0042
- PubMed ID : 20215080
- SCOPUS ID : 77952629415
- Web of Science ID : WOS:000277773200008