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Mueller polarimetry is a powerful technique with broad applications in astronomy, remote sensing, advanced material analysis, and biomedical imaging. However, instrumental constraints frequently restrict the measurement to an incomplete Mueller matrix limited to its upper-left 3×3 submatrix. Simply padding the missing entries with zeros to form a 4×4 matrix can produce physically inconsistent results, for both nondepolarizing and depolarizing systems. To address this issue, we present a systematic procedure to complete 3×3 measured Mueller matrices into physically consistent 4×4 matrices. The method relies on the covariance matrix formalism and selects, among the infinitely many admissible completions, the one with maximal polarimetric purity. This criterion ensures that the synthesized matrix corresponds to the least random (most deterministic) two-component model compatible with the measurement. The procedure is fully general and can be applied to any 3×3 partial Mueller polarimetric data, providing a reliable and physically grounded reconstruction tool for polarimetric imaging and materials characterization.
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José et al. (2025) studied this question.
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