DeepCubeNet: reconstruction of spectrally compressive sensed hyperspectral images with deep neural networks

Using Deep Neural Networks for Inverse Problems in Imaging: Beyond Analytical Methods

(2018) Alice Lucas et al.   IEEE SIGNAL PROCESSING MAGAZINE

NIR hyperspectral compressive imager based on a modified Fabry–Perot resonator

(2018) Yaniv Oiknine et al.   Journal of Optics

Extended depth-of-field in holographic imaging using deep-learning-based autofocusing and phase recovery

(2018) Yichen Wu et al.   Optica

Compressive spectral imaging system based on liquid crystal tunable filter

(2018) Xi Wang et al.   OPTICS EXPRESS

Deep learning approach for Fourier ptychography microscopy

(2018) Thanh Nguyen et al.   OPTICS EXPRESS

Multi-aperture snapshot compressive hyperspectral camera

(2018) Yaniv Oiknine et al.   OPTICS LETTERS

HyperReconNet: Joint Coded Aperture Optimization and Image Reconstruction for Compressive Hyperspectral Imaging

(2018) Lizhi Wang et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Deep Convolutional Neural Network for Inverse Problems in Imaging

(2017) Kyong Hwan Jin et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Performance of target detection algorithm in compressive sensing miniature ultraspectral imaging compressed sensing system

(2017) Daniel Gedalin et al.   OPTICAL ENGINEERING

Object classification through scattering media with deep learning on time resolved measurement

(2017) Guy Satat et al.   OPTICS EXPRESS

Hyperspectral Image Spatial Super-Resolution via 3D Full Convolutional Neural Network

(2017) Shaohui Mei et al.   Remote Sensing

Deep learning microscopy

(2017) Yair Rivenson et al.   Optica

Lensless computational imaging through deep learning

(2017) Ayan Sinha et al.   Optica

Image Super-Resolution Using Deep Convolutional Networks

(2016) Chao Dong et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Miniature Compressive Ultra-spectral Imaging System Utilizing a Single Liquid Crystal Phase Retarder

(2016) Isaac August et al.   Scientific Reports

Deep learning

(2015) Yann LeCun et al.   NATURE

Learning approach to optical tomography

(2015) Ulugbek S. Kamilov et al.   Optica

Dual-coded compressive hyperspectral imaging

(2014) Xing Lin et al.   OPTICS LETTERS

Compressive hyperspectral imaging by random separable projections in both the spatial and the spectral domains

(2013) Yitzhak August et al.   APPLIED OPTICS

Compressive Coded Aperture Spectral Imaging: An Introduction

(2013) Gonzalo R. Arce et al.   IEEE SIGNAL PROCESSING MAGAZINE

Compressed Imaging With a Separable Sensing Operator

(2009) Y. Rivenson et al.   IEEE SIGNAL PROCESSING LETTERS