Optics-Free Imaging Using A Self-Consistent Supervised Deep Neural Network (JTu5A.3)
Presenter: Soren Nelson, University of Utah
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.
Authors:Soren Nelson, University of Utah / Rajesh Menon, University of Utah