On optimal filtering of measured Mueller matrices

Abstract

While any 2D mixed state of polarization of light can be represented by a combination of a pure state and a fully random state, any Mueller matrix can be represented by a convex combination of a pure component and three additional components whose randomness is scaled in a proper and objective way. Such characteristic decomposition constitutes the appropriate framework for the characterization of the polarimetric randomness of the system represented by a given Mueller matrix and provides criteria for the optimal filtering of noise in experimental polarimetry.

© 2016 Optical Society of America

Polarimetric subtraction of Mueller matrices

José J. Gil and Ignacio San José
J. Opt. Soc. Am. A 30(6) 1078-1088 (2013)

Characterization of passivity in Mueller matrices

Ignacio San José and José J. Gil
J. Opt. Soc. Am. A 37(2) 199-208 (2020)

Serial–parallel decompositions of Mueller matrices

José J. Gil, Ignacio San José, and Razvigor Ossikovski
J. Opt. Soc. Am. A 30(1) 32-50 (2013)

Singular Mueller matrices

José J. Gil, Razvigor Ossikovski, and Ignacio San José
J. Opt. Soc. Am. A 33(4) 600-609 (2016)

Algorithm for the numerical calculation of the serial components of the normal form of depolarizing Mueller matrices

Ignacio San José, José J. Gil, and R. Ossikovski
Appl. Opt. 59(8) 2291-2297 (2020)