36 citations · 107 across the 15 of their papers we have counts for
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eess.IV2023★ 11 cited
DeepOrientation: convolutional neural network for fringe pattern orientation map estimation
Maria Cywinska, Mikolaj Rogalski, Filip Brzeski +2
Fringe pattern based measurement techniques are the state-of-the-art in full-field optical metrology. They are crucial both in macroscale, e.g., fringe projection profilometry, and…
eess.IV2023★ 36 cited
Physics-driven universal twin-image removal network for digital in-line holographic microscopy
Mikołaj Rogalski, Piotr Arcab, Luiza Stanaszek +3
Digital in-line holographic microscopy (DIHM) enables efficient and cost-effective computational quantitative phase imaging with a large field of view, making it valuable for study…