Abstract
In this paper, we introduce a general Bayesian approach to estimate polarization parameters in the Stokes imaging framework. We demonstrate that this new approach yields a neat solution to the polarimetric data reduction problem that preserves the physical admissibility constraints and provides a robust clustering of Stokes images in regard to image noises. The proposed approach is extensively evaluated by using synthetic simulated data and applied to cluster and retrieves the Stokes image issuing from a set of real measurements.
Highlights
The main interest of the Stokes-Mueller formalism in optical imaging is mainly due to the definition of light polarization parameters in terms of real quadratic observables which are directly sensed by CCD detectors
Many interesting studies in regard to this problem have been published in the recent literature, see for example [6,7,8,9]. All of these papers focused on the calibration strategies to adopt and on the suited optical configurations in order to obtain the best conditioning of the aforementioned matrix equation to yield the polarization-encoded images
The Stokes vector s1 = (1.0, 0.5, 0, 0.866)t was assigned to the black pixels, s2 = (0.8, 0, 0, 0.8)t to the heavy gray pixels, s3 = (0.9, 0.39, −0.675, 0.45)t to the light gray pixels, and s4 = (1.2, 0.85, 0.85, 0) to the white pixels in the label map
Summary
The main interest of the Stokes-Mueller formalism in optical imaging is mainly due to the definition of light polarization parameters in terms of real quadratic observables (intensities) which are directly sensed by CCD detectors. This allows extending classical intensity-wise imaging systems to acquire Stokes images through the use of Polarization State Analyzers. Many interesting studies in regard to this problem have been published in the recent literature, see for example [6,7,8,9] All of these papers focused on the calibration strategies to adopt and on the suited optical configurations in order to obtain the best conditioning of the aforementioned matrix equation to yield the polarization-encoded images
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
