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physics.optics2024
Machine Learning Model for Complete Reconstruction of Diagnostic Polarimetric Images from partial Mueller polarimetry data
Sooyong Chae, Tongyu Huang, Omar Rodrıguez-Nunez +11
The translation of imaging Mueller polarimetry to clinical practice is often hindered by large footprint and relatively slow acquisition speed of the existing instruments. Using po…
physics.optics2024
Time-efficient filtering of polarimetric data by checking physical realizability of experimental Mueller matrices
Tatiana Novikova, Alexey Ovchinnikov, Gleb Pogudin +1
Imaging Mueller polarimetry has already proved its potential for metrology, remote sensing and biomedicine. The real-time applications of this modality require both video rate imag…