Micropolarizer array demosaicking and denoising

Joseph Raffoul; Daniel LeMaster; Keigo Hirakawa

doi:10.1117/12.3015494

7 June 2024 Micropolarizer array demosaicking and denoising

Joseph Raffoul, Daniel LeMaster, Keigo Hirakawa

Proceedings Volume 13050, Polarization: Measurement, Analysis, and Remote Sensing XVI; 1305004 (2024) https://doi.org/10.1117/12.3015494
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States

Abstract

Snapshot polarimetry relies on the micro-polarizer array (MPA)—a spatial multiplexing of pixel-sized wiregrid analyzers. The limitation of MPA-based polarimetric imaging is the loss of spatial resolution and light received by each pixel. Reconstructing the degree and the angle of linear polarization (DoLP and AoLP, respectively) from MPA accurately requires the joint application of demosaicking (to demodulate the spatial modulation of the wiregrid analyzers) and denoising (to account for photon and thermal noise). We propose a wavelet-based Bayesian estimation technique for jointly demosaicking and denoising 2 × 2 MPA-sampled sensor data.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Joseph Raffoul, Daniel LeMaster, and Keigo Hirakawa "Micropolarizer array demosaicking and denoising", Proc. SPIE 13050, Polarization: Measurement, Analysis, and Remote Sensing XVI, 1305004 (7 June 2024); https://doi.org/10.1117/12.3015494

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