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20172021
most citedBreaking Imaging Limits using Dithering Masks in 0.35 Terahertz Single-Pixel Imaging

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2021

Photothermal-SR-Net: A Customized Deep Unfolding Neural Network for Photothermal Super Resolution Imaging

Samim Ahmadi, Linh Kästner, Jan Christian Hauffen +2

This paper presents deep unfolding neural networks to handle inverse problems in photothermal radiometry enabling super resolution (SR) imaging. Photothermal imaging is a well-know…

cs.CV2020

Classification of Spot-welded Joints in Laser Thermography Data using Convolutional Neural Networks

Linh Kästner, Samim Ahmadi, Florian Jonietz +4

Spot welding is a crucial process step in various industries. However, classification of spot welding quality is still a tedious process due to the complexity and sensitivity of th…

physics.ins-det2019

Terahertz dynamic aperture imaging at stand-off distances using a Compressed Sensing protocol

Sven Augustin, Peter Jung, Sven Frohmann +1

In this text, results of a 0.35 terahertz (THz) dynamic aperture imaging approach are presented. The experiments use an optical modulation approach and a single pixel detector at a…

physics.ins-det20171 cited

Breaking Imaging Limits using Dithering Masks in 0.35 Terahertz Single-Pixel Imaging

Sven Augustin, Tom Szollmann, Peter Jung +1

In this contribution, we explore the imaging limits of terahertz single-pixel cameras and present a way to improve the achievable signal-to-noise ratio and spatial resolution using…

physics.optics2017

Mask Responses for Single-Pixel Terahertz Imaging

Sven Augustin, Sven Frohmann, Peter Jung +1

Terahertz (THz) radiation meaning electromagnetic radiation in the range from 0.1 THz (3 mm) to 10 THz (30 mu) has the unique advantage of easily penetrating many obstructions whil…