Reconstruction Methods in THz Single-pixel Imaging

03/21/2019
by   Martin Burger, et al.
0

The aim of this paper is to discuss some advanced aspects of image reconstruction in single-pixel cameras, focusing in particular on detectors in the THz regime. We discuss the reconstruction problem from a computational imaging perspective and provide a comparison of the effects of several state-of-the art regularization techniques. Moreover, we focus on some advanced aspects arising in practice with THz cameras, which lead to nonlinear reconstruction problems: the calibration of the beam reminiscent of the Retinex problem in imaging and phase recovery problems. Finally we provide an outlook to future challenges in the area.

READ FULL TEXT

page 8

page 10

page 14

page 15

page 20

page 21

page 23

page 25

research
09/10/2016

A Perspective on Deep Imaging

The combination of tomographic imaging and deep learning, or machine lea...
research
03/21/2019

Megapixel Photon-Counting Color Imaging using Quanta Image Sensor

Quanta Image Sensor (QIS) is a single-photon detector designed for extre...
research
06/15/2016

High-speed real-time single-pixel microscopy based on Fourier sampling

Single-pixel cameras based on the concepts of compressed sensing (CS) le...
research
02/09/2022

Statistical Tools for Imaging Atmospheric Cherenkov Telescopes

The development of Imaging Atmospheric Cherenkov Telescopes (IACTs) unve...
research
03/21/2018

Extended depth-of-field in holographic image reconstruction using deep learning based auto-focusing and phase-recovery

Holography encodes the three dimensional (3D) information of a sample in...
research
09/16/2020

Deep Learning in Photoacoustic Tomography: Current approaches and future directions

Biomedical photoacoustic tomography, which can provide high resolution 3...
research
02/21/2017

Lensless Photography with only an image sensor

Photography usually requires optics in conjunction with a recording devi...

Please sign up or login with your details

Forgot password? Click here to reset