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Recent research in developing methods for visualizing polarimetric images are implemented in Python modules now available in public repository. In addition to implementing the set of current visualization typically used for polarimetric imaging, the recently developed methods that are implemented involve depicting polarimetric variables using color coordinates from a uniform color space. These methods can be used both linear and circular polarization, and can be used to depict one, two, or three polarimetric variables in a single image. Collaboration on Github is encouraged for implementing new ideas as well as translating the modules into other programming languages.
Andrew W. Kruse
"Vispol: Open-source software modules for polarimetric imaging visualizations", Proc. SPIE 11833, Polarization Science and Remote Sensing X, 118330S (1 August 2021); https://doi.org/10.1117/12.2596223
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Andrew W. Kruse, "Vispol: Open-source software modules for polarimetric imaging visualizations," Proc. SPIE 11833, Polarization Science and Remote Sensing X, 118330S (1 August 2021); https://doi.org/10.1117/12.2596223