IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Physically Consistent Image Augmentation for Deep Learning in Mueller Matrix Polarimetry.
Christopher Hahne, Omar Rodriguez-Nunez, Elea Gros, Theotim Lucas, Ekkehard Hewer, Tatiana Novikova, Theoni Maragkou, Philippe Schucht, Richard McKinley
Published: 202510.1109/TIP.2025.3618390
Abstract
Mueller matrix polarimetry captures essential information about polarized light interactions with a sample, presenting unique challenges for data augmentation in deep learning due to its distinct structure. While augmentations are an effective and af…
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