24 citations · 27 across the 4 of their papers we have counts for
3 papers · 1 filter
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…
Learned Block Iterative Shrinkage Thresholding Algorithm for Photothermal Super Resolution Imaging
Samim Ahmadi, Jan Christian Hauffen, Linh Kästner +3
Block-sparse regularization is already well-known in active thermal imaging and is used for multiple measurement based inverse problems. The main bottleneck of this method is the c…
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…