Active illumination computational imaging for optical super resolution, 3D topography, and indirect imaging

Block matching super-resolution parallel GPU implementation for computational imaging

IEEE Transactions on Consumer Electronics ◽

10.1109/tce.2017.015077 ◽

2017 ◽

Vol 63 (4) ◽

pp. 368-376

Author(s):

E. Marenzi ◽

E. Torti ◽

F. Leporati ◽

E. Quevedo ◽

G. M. Callicò

Keyword(s):

Super Resolution ◽

Computational Imaging ◽

Block Matching ◽

Gpu Implementation

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Orthogonal Coded Active Illumination for Millimeter Wave, Massive-MIMO Computational Imaging With Metasurface Antennas

IEEE Transactions on Computational Imaging ◽

10.1109/tci.2018.2808762 ◽

2018 ◽

Vol 4 (2) ◽

pp. 184-193 ◽

Cited By ~ 13

Author(s):

Andreas Pedross-Engel ◽

Daniel Arnitz ◽

Jonah N. Gollub ◽

Okan Yurduseven ◽

Kenneth P. Trofatter ◽

...

Keyword(s):

Millimeter Wave ◽

Massive Mimo ◽

Computational Imaging ◽

Active Illumination

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Towards super-resolution computational imaging with GeoSTAR configured mm-band sensor array radar: An aggregated adaptive beamforming compressed sensing approach

2013 International Kharkov Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves ◽

10.1109/msmw.2013.6622153 ◽

2013 ◽

Author(s):

Yuriy V. Shkvarko ◽

Victor E. Espadas

Keyword(s):

Compressed Sensing ◽

Sensor Array ◽

Super Resolution ◽

Adaptive Beamforming ◽

Computational Imaging

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Miniaturised computational imaging system design for super-resolution, large field-of-view and extended depth-of-field with applications to surveillance, medical imaging, and condition-based maintenance

Insight - Non-Destructive Testing and Condition Monitoring ◽

10.1784/insi.2008.50.6.304 ◽

2008 ◽

Vol 50 (6) ◽

pp. 304-306 ◽

Cited By ~ 3

Author(s):

N K Bose

Keyword(s):

Medical Imaging ◽

System Design ◽

Imaging System ◽

Super Resolution ◽

Computational Imaging ◽

Condition Based Maintenance ◽

Field Of View ◽

Large Field ◽

Depth Of Field ◽

Imaging System Design

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Optical lens-shift design for increasing spatial resolution of 3D ToF cameras

Advanced Optical Technologies ◽

10.1515/aot-2016-0063 ◽

2017 ◽

Vol 6 (1) ◽

Author(s):

Henrik Lietz ◽

M. Muneeb Hassan ◽

Jörg Eberhardt

Keyword(s):

Sampling Rate ◽

Resolution Enhancement ◽

Super Resolution ◽

Computational Imaging ◽

Resolving Power ◽

Current Sensor ◽

Optical Lens ◽

Static Object ◽

Sensor Properties ◽

Physical Sensor

AbstractSensor resolution of 3D time-of-flight (ToF) outdoor-capable cameras is strongly limited because of its large pixel dimensions. Computational imaging permits enhancement of the optical system’s resolving power without changing physical sensor properties. Super-resolution (SR) algorithms superimpose several sub-pixel-shifted low-resolution (LR) images to overcome the system’s limited spatial sampling rate. In this paper, we propose a novel opto-mechanical system to implement sub-pixel shifts by moving an optical lens. This method is more flexible in terms of implementing SR techniques than current sensor-shift approaches. In addition, we describe a SR observation model that has been optimized for the use of LR 3D ToF cameras. A state-of-the-art iteratively reweighted minimization algorithm executes the SR process. It is proven that our method achieves nearly the same resolution increase as if the pixel area would be halved physically. Resolution enhancement is measured objectively for amplitude images of a static object scene.

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Super-resolution structured illumination microscopy: past, present and future

Philosophical Transactions of The Royal Society A Mathematical Physical and Engineering Sciences ◽

10.1098/rsta.2020.0143 ◽

2021 ◽

Vol 379 (2199) ◽

Author(s):

Kirti Prakash ◽

Benedict Diederich ◽

Stefanie Reichelt ◽

Rainer Heintzmann ◽

Lothar Schermelleh

Keyword(s):

Three Dimensional ◽

Super Resolution ◽

Computational Imaging ◽

Biological Applications ◽

Structured Illumination ◽

Structured Illumination Microscopy ◽

Recent Developments ◽

Resolution Imaging ◽

Microscopy Techniques ◽

Super Resolution Microscopy

Structured illumination microscopy (SIM) has emerged as an essential technique for three-dimensional (3D) and live-cell super-resolution imaging. However, to date, there has not been a dedicated workshop or journal issue covering the various aspects of SIM, from bespoke hardware and software development and the use of commercial instruments to biological applications. This special issue aims to recap recent developments as well as outline future trends. In addition to SIM, we cover related topics such as complementary super-resolution microscopy techniques, computational imaging, visualization and image processing methods.This article is part of the Theo Murphy meeting issue ‘Super-resolution structured illumination microscopy (part 1)’.

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