FourierNets enable the design of highly non-local optical encoders for computational imaging Diptodip Deb 1 Zhenfei Jiao 1,2 Ruth R. Sims 1,3 Alex B. Chen 1,4

We show that existing deep network decoders have a locality bias which prevents the optimization of such highly non-local optical encoders. We address this with a decoder based on a shallow neural network architecture using global kernel Fourier convolutional neural networks (Fourier-Nets).