Physics

Fourier domain

Mathematics

Fourier transform

Optics

Modulation (music)

Plane (geometry)

Artificial intelligence

Diffraction

Acoustics

Geometry

Computer science

Quantum mechanics

Computer vision

Artificial neural network

Physical Review Letters

In this Letter we propose the Fourier-space diffractive deep neural network (F-D^{2}NN) for all-optical image processing that performs advanced computer vision tasks at the speed of light. The F-D^{2}NN is achieved by placing the extremely compact diffractive modulation layers at the Fourier plane or both Fourier and imaging planes of an optical system, where the optical nonlinearity is introduced from ferroelectric thin films. We demonstrated that F-D^{2}NN can be trained with deep learning algorithms for all-optical saliency detection and high-accuracy object classification.

Fourier-space Diffractive Deep Neural Network