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Conference Paper: Nonlinear image reconstruction in block-based compressive imaging
Title | Nonlinear image reconstruction in block-based compressive imaging |
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Authors | |
Keywords | Compressive imaging Feature measurement Learning frameworks Projection vectors Reconstruction problems |
Issue Date | 2012 |
Publisher | IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000089 |
Citation | The 2012 IEEE International Symposium on Circuits and Systems (ISCAS), Seoul, Korea, 20-23 May 2012. In IEEE International Symposium on Circuits and Systems Proceedings, 2012, p. 2917-2920 How to Cite? |
Abstract | A block-based compressive imaging (BCI) system with sequential architecture is presented in this paper. Feature measurements are collected using the principal component analysis (PCA) projection vectors. Then, we discuss an object prior learning framework based on the Field-of-Expert (FoE) model, and provide its implementation in the BCI reconstruction problem. Experimental results are used to demonstrate the reconstruction performance of the FoE-based method. © 2012 IEEE. |
Persistent Identifier | http://hdl.handle.net/10722/153066 |
ISBN | |
ISSN |
DC Field | Value | Language |
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dc.contributor.author | Ke, J | en_US |
dc.contributor.author | Lam, EYM | en_US |
dc.date.accessioned | 2012-07-16T09:55:42Z | - |
dc.date.available | 2012-07-16T09:55:42Z | - |
dc.date.issued | 2012 | en_US |
dc.identifier.citation | The 2012 IEEE International Symposium on Circuits and Systems (ISCAS), Seoul, Korea, 20-23 May 2012. In IEEE International Symposium on Circuits and Systems Proceedings, 2012, p. 2917-2920 | en_US |
dc.identifier.isbn | 978-1-4673-0219-7 | - |
dc.identifier.issn | 0271-4302 | - |
dc.identifier.uri | http://hdl.handle.net/10722/153066 | - |
dc.description.abstract | A block-based compressive imaging (BCI) system with sequential architecture is presented in this paper. Feature measurements are collected using the principal component analysis (PCA) projection vectors. Then, we discuss an object prior learning framework based on the Field-of-Expert (FoE) model, and provide its implementation in the BCI reconstruction problem. Experimental results are used to demonstrate the reconstruction performance of the FoE-based method. © 2012 IEEE. | - |
dc.language | eng | en_US |
dc.publisher | IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000089 | - |
dc.relation.ispartof | IEEE International Symposium on Circuits and Systems Proceedings | en_US |
dc.subject | Compressive imaging | - |
dc.subject | Feature measurement | - |
dc.subject | Learning frameworks | - |
dc.subject | Projection vectors | - |
dc.subject | Reconstruction problems | - |
dc.title | Nonlinear image reconstruction in block-based compressive imaging | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Ke, J: junke@eee.hku.hk | en_US |
dc.identifier.email | Lam, EYM: elam@eee.hku.hk | en_US |
dc.identifier.authority | Lam, EYM=rp00131 | en_US |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/ISCAS.2012.6271926 | - |
dc.identifier.scopus | eid_2-s2.0-84866624413 | - |
dc.identifier.hkuros | 200970 | en_US |
dc.identifier.spage | 2917 | - |
dc.identifier.epage | 2920 | - |
dc.publisher.place | United States | - |
dc.description.other | The 2012 IEEE International Symposium on Circuits and Systems (ISCAS), Seoul, Korea, 20-23 May 2012. In IEEE International Symposium on Circuits and Systems Proceedings, 2012, p. 2917-2920 | - |
dc.identifier.issnl | 0271-4302 | - |