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Optimizing information content of polarization images with signal and image processing techniques

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Polarization imagers reveal information invisible to human eye or standard cameras. They are useful in remote sensing, biomedical imaging, and robotics. There are many different possible architectures for such imagers, and each of them depends on free parameters that can be optimized in order to maximize the information content of the images they deliver. We show through different examples how signal and image processing techniques can help design more efficient and/or cost-effective polarization imagers.

© 2018 Optical Society of Japan

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