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Nonlinear image reconstruction in block-based compressive imaging

  • Jun Ke*
  • , Edmund Y. Lam
  • *此作品的通讯作者
  • The University of Hong Kong

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

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.

源语言英语
主期刊名ISCAS 2012 - 2012 IEEE International Symposium on Circuits and Systems
出版商IEEE Computer Society
2917-2920
页数4
ISBN(电子版)9781467302197
DOI
出版状态已出版 - 2012
已对外发布
活动2012 IEEE International Symposium on Circuits and Systems, ISCAS 2012 - Seoul, 韩国
期限: 20 5月 201223 5月 2012

丛书

姓名ISCAS 2012 - 2012 IEEE International Symposium on Circuits and Systems

会议

会议2012 IEEE International Symposium on Circuits and Systems, ISCAS 2012
国家/地区韩国
Seoul
时期20/05/1223/05/12

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