TY - JOUR
T1 - A multiple degradation maps network for spatial compressed sensing
AU - Cui, Can
AU - Ke, Jun
N1 - Publisher Copyright:
© OSA 2021, © 2021 The Author(s)
PY - 2021
Y1 - 2021
N2 - In this paper, we study a network MD-CSNet for spatial compressed sensing based on multiple degradation maps. The network can greatly improve the reconstruction speed while ensuring the quality of object reconstruction.
AB - In this paper, we study a network MD-CSNet for spatial compressed sensing based on multiple degradation maps. The network can greatly improve the reconstruction speed while ensuring the quality of object reconstruction.
UR - http://www.scopus.com/inward/record.url?scp=85119506820&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:85119506820
SN - 2162-2701
JO - Optics InfoBase Conference Papers
JF - Optics InfoBase Conference Papers
M1 - CM2E.2
T2 - Computational Optical Sensing and Imaging, COSI 2021 - Part of OSA Imaging and Applied Optics Congress 2021
Y2 - 19 July 2021 through 23 July 2021
ER -