TY - GEN
T1 - Using compressive measurement to obtain images at ultra low-light-level
AU - Ke, Jun
AU - Wei, Ping
PY - 2013
Y1 - 2013
N2 - In this paper, a compressive imaging architecture is used for ultra low-light-level imaging. In such a system, features, instead of object pixels, are imaged onto a photocathode, and then magnified by an image intensifier. By doing so, system measurement SNR is increased significantly. Therefore, the new system can image objects at ultra low-ligh-level, while a conventional system has difficulty. PCA projection is used to collect feature measurements in this work. Linear Wiener operator and nonlinear method based on FoE model are used to reconstruct objects. Root mean square error (RMSE) is used to quantify system reconstruction quality.
AB - In this paper, a compressive imaging architecture is used for ultra low-light-level imaging. In such a system, features, instead of object pixels, are imaged onto a photocathode, and then magnified by an image intensifier. By doing so, system measurement SNR is increased significantly. Therefore, the new system can image objects at ultra low-ligh-level, while a conventional system has difficulty. PCA projection is used to collect feature measurements in this work. Linear Wiener operator and nonlinear method based on FoE model are used to reconstruct objects. Root mean square error (RMSE) is used to quantify system reconstruction quality.
KW - Block-wised compressive imaging
KW - Compressive imaging
KW - FoE
KW - Low-light-level imaging
KW - PCA
UR - http://www.scopus.com/inward/record.url?scp=84885219825&partnerID=8YFLogxK
U2 - 10.1117/12.2034412
DO - 10.1117/12.2034412
M3 - Conference contribution
AN - SCOPUS:84885219825
SN - 9780819497772
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - International Symposium on Photoelectronic Detection and Imaging 2013
T2 - 5th International Symposium on Photoelectronic Detection and Imaging, ISPDI 2013
Y2 - 25 June 2013 through 27 June 2013
ER -