Abstract
We propose a deep neural network self-consistent supervised model for optics-free image reconstruction. The model learns both the inverse imaging problem as well as the forward to better constrain the reconstruction.
© 2021 The Author(s)
PDF ArticleMore Like This
Jiapeng Liu, Muralidhar M. Balaji, Christopher A. Metzler, M. Salman Asif, and Prasanna Rangarajan
CTh5A.2 Computational Optical Sensing and Imaging (COSI) 2021
Luzhe Huang, Hanlong Chen, Tairan Liu, and Aydogan Ozcan
ATu3Q.4 CLEO: Applications and Technology (CLEO:A&T) 2023
Santosh Kumar, Ting Bu, He Zhang, Irwin Huang, and Yu-Ping Huang
AW3E.3 CLEO: QELS_Fundamental Science (CLEO:FS) 2021