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dc.contributor.authorQiu, Simengen_US
dc.contributor.authorFu, Qiangen_US
dc.contributor.authorWang, Conglien_US
dc.contributor.authorHeidrich, Wolfgang en_US
dc.contributor.editorSchulz, Hans-Jörg and Teschner, Matthias and Wimmer, Michaelen_US
dc.date.accessioned2019-09-29T06:46:08Z
dc.date.available2019-09-29T06:46:08Z
dc.date.issued2019
dc.identifier.isbn978-3-03868-098-7
dc.identifier.urihttps://doi.org/10.2312/vmv.20191325
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vmv20191325
dc.description.abstractDivision-of-focal-plane (DoFP) polarization image sensors allow for snapshot imaging of linear polarization effects with inexpensive and straightforward setups. However, conventional interpolation based image reconstruction methods for such sensors produce unreliable and noisy estimates of quantities such as degree of linear polarization (DoLP) or angle of linear polarization (AoLP). In this paper, we propose a polarization demosaicking algorithm by inverting the polarization image formation model for both monochrome and color DoFP cameras. Compared to previous interpolation methods, our approach can significantly reduce noise induced artifacts and drastically increase the accuracy in estimating polarization states. We evaluate and demonstrate the performance of the methods on a new high-resolution color polarization dataset. Simulation and experimental results show that the proposed reconstruction and analysis tools offer an effective solution to polarization imaging.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectComputing methodologies
dc.subjectComputational photography
dc.titlePolarization Demosaicking for Monochrome and Color Polarization Focal Plane Arraysen_US
dc.description.seriesinformationVision, Modeling and Visualization
dc.description.sectionheadersImage and Video Processing
dc.identifier.doi10.2312/vmv.20191325
dc.identifier.pages117-124


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  • VMV19
    ISBN 978-3-03868-098-7

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