The libmpMuelMat library is a multi-platform set of computational tools for polarimetric Mueller matrix image processing.

The library builds on an integration of compiled C codebase and Python for an optimised and streamlined user experience. The libmpMuelMat library embeds high-performance computational algorithms, ported from state-of-the-art methods [1-4], and provides and optimised and stable interface for machine-learning designs, as well as, nearly real-time applications for translational and experimental set-ups.

References:

1. Compain, E., Poirier, S., & Drevillon, B. (1999). General and self-consistent method for the calibration of polarization modulators, polarimeters, and Mueller-matrix ellipsometers. Applied optics, 38(16), 3490-3502.

2. Lu, S. Y., & Chipman, R. A. (1996). Interpretation of Mueller matrices based on polar decomposition. JOSA A, 13(5), 1106-1113.

3. Ossikovski, R., De Martino, A., & Guyot, S. (2007). Forward and reverse product decompositions of depolarizing Mueller matrices. Optics letters, 32(6), 689-691.

4. Ossikovski, R., Anastasiadou, M., & De Martino, A. (2008). Product decompositions of depolarizing Mueller matrices with negative determinants. Optics communications, 281(9), 2406-2410.