Architectural Unification for Polarimetric Imaging Across Multiple Degradations
Polarimetric imaging aims to recover polarimetric parameters, including Total Intensity (TI), Degree of Polarization (DoP), and Angle of Polarization (AoP), from captured polarized measurements. In real-world scenarios, these measurements are frequently affected by diverse degradations such as low-light noise, motion blur, and mosaicing artifacts. Due to the nonlinear dependency of DoP and AoP on the measured intensities, accurately retrieving physically consistent polarimetric parameters from degraded observations remains highly challenging. Existing approaches typically adopt task-specific network architectures tailored to individual degradation types, limiting their adaptability across...
| Authors | Chu Zhou, Yufei Han, Junda Liao et al. |
|---|---|
| Primary category | eess.IV |
| Published | 6 March 2026 |
| Last updated at source | 6 March 2026 |
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