Block-based compressive low-light-level imaging

Jun Ke, Ping Wei, Xin Zhang, Edmund Y. Lam

科研成果: 书/报告/会议事项章节会议稿件同行评审

5 引用 (Scopus)

摘要

In this paper, block-based compressive low-light-level imaging (BCL-imaging) is studied. To obtain larger measurement SNR (signal to noise ratio), instead of object pixels, linear combinations of pixels, referred to as features, are collected. PCA and Hadamard features are studied. Measurement SNR and reconstruction error are analyzed to quantify BCL-imaging performance. Compared with conventional imaging, BCL-imaging presents better reconstruction quality. Between PCA and Hadamard projections, PCA has smaller reconstruction error. However, after sorting the projection vectors using measurement SNR, Hadamard can obtain similarly performance as PCA. Biased vector and dual-measurements are studied with experimental results for the implementation of both projections in the end of this paper.

源语言英语
主期刊名IST 2013 - 2013 IEEE International Conference on Imaging Systems and Techniques, Proceedings
311-316
页数6
DOI
出版状态已出版 - 2013
已对外发布
活动2013 IEEE International Conference on Imaging Systems and Techniques, IST 2013 - Beijing, 中国
期限: 22 10月 201323 10月 2013

出版系列

姓名IST 2013 - 2013 IEEE International Conference on Imaging Systems and Techniques, Proceedings

会议

会议2013 IEEE International Conference on Imaging Systems and Techniques, IST 2013
国家/地区中国
Beijing
时期22/10/1323/10/13

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