Polarization Demosaicking for Monochrome and Color Polarization Focal Plane Arrays

Qiu, Simeng; Fu, Qiang; Wang, Congli; Heidrich, Wolfgang

Polarization Demosaicking for Monochrome and Color Polarization Focal Plane Arrays

Files

117-124.pdf (67.33 MB)

paper1000_supplement_crc.pdf (14.52 MB)

paper1000_crc.mp4 (64.51 MB)

Date

2019

Authors

Qiu, Simeng
Fu, Qiang
Wang, Congli
Heidrich, Wolfgang

Publisher

The Eurographics Association

Abstract

Division-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.

        @inproceedings{10.2312:vmv.20191325
,
booktitle = {Vision, Modeling and Visualization
},
editor = {Schulz, Hans-Jörg and Teschner, Matthias and Wimmer, Michael
},
title = {{Polarization Demosaicking for Monochrome and Color Polarization Focal Plane Arrays
}},
author = {Qiu, Simeng and 
Fu, Qiang and 
Wang, Congli and 
Heidrich, Wolfgang 
},
year = {2019
},
publisher = {The Eurographics Association
},
ISBN = {978-3-03868-098-7
},
DOI = {10.2312/vmv.20191325
}
}