Image denoising, one of the essential inverse problems, targets to remov...
Diffractive deep neural networks (D2NNs) are composed of successive
tran...
Free-space optical systems are emerging for high data rate communication...
We demonstrate universal polarization transformers based on an engineere...
Multispectral imaging has been used for numerous applications in e.g.,
e...
A unidirectional imager would only permit image formation along one
dire...
Permutation matrices form an important computational building block
freq...
High-resolution synthesis/projection of images over a large field-of-vie...
Privacy protection is a growing concern in the digital era, with machine...
Recent advances in deep learning have been providing non-intuitive solut...
As an optical machine learning framework, Diffractive Deep Neural Networ...
Machine vision systems mostly rely on lens-based optical imaging
archite...
We report a broadband diffractive optical neural network design that
sim...
We introduce an all-optical Diffractive Deep Neural Network (D2NN)
archi...