Dual Single Pixel Imaging in SWIR using Compressed Sensing

Martin Oja; Sebastian Olsson; Carl Brännlund; Andreas Brorsson; David Bergström; David Gustafsson

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Paper

Dual Single Pixel Imaging in SWIR using Compressed Sensing

Topics: Image Enhancement and Restoration; Image Formation, Acquisition Devices and Sensors; Multimodal and Multi-Sensor Models of Image Formation

In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, 48-56, 2020 , Valletta, Malta

Authors: Martin Oja ¹ ; Sebastian Olsson ¹ ; Carl Brännlund ² ; Andreas Brorsson ² ; David Bergström ² and David Gustafsson ²

Affiliations: ¹ Linköping University, Linköping, Sweden ; ² FOI - Swedish Defence Research Agency, C4ISR , Linköping, Sweden

Keyword(s): Compressive Sensing, Single Pixel Imaging, Complementary Sampling, SWIR, Total Variation.

Abstract: In this paper, we present a dual Single Pixel Camera (SPC) operating in the Short Wave InfraRed (SWIR) spectral range that reconstructs high resolution images from an ensemble of compressed measurements. The SWIR spectrum provides significant benefits in many applications due to its night vision capabilities and its ability to penetrate smoke and fog. Walsh-Hadamard matrices are used for generating pseudo-random measurements which speed up the reconstruction and enable reconstruction of high resolution images. Total variation regularization is used for finding a sparse solution in the gradient space. The detectors have been fitted with analog filters and amplification in order to capture scenes in low light. A number of outdoor scenes with varying illumination have been collected using the dual single pixel sensor. Visual inspection of the reconstructed SWIR images indicate that most scenes and objects can be identified with a lower subsampling ratio (SR) compared to a single detecto r setup. The image quality is consistently better than with one detector, with similar results achieved with fewer samples or better results with the same number of samples. We also present measurements on moving objects in the scene and movements in the SPC unit and compare the results between single and dual detectors. (More)

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Paper citation in several formats:

Oja, M.; Olsson, S.; Brännlund, C.; Brorsson, A.; Bergström, D. and Gustafsson, D. (2020). Dual Single Pixel Imaging in SWIR using Compressed Sensing. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 4: VISAPP; ISBN 978-989-758-402-2; ISSN 2184-4321, SciTePress, pages 48-56. DOI: 10.5220/0008947000480056

@conference{visapp20,
author={Martin Oja. and Sebastian Olsson. and Carl Brännlund. and Andreas Brorsson. and David Bergström. and David Gustafsson.},
title={Dual Single Pixel Imaging in SWIR using Compressed Sensing},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 4: VISAPP},
year={2020},
pages={48-56},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008947000480056},
isbn={978-989-758-402-2},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 4: VISAPP
TI - Dual Single Pixel Imaging in SWIR using Compressed Sensing
SN - 978-989-758-402-2
IS - 2184-4321
AU - Oja, M.
AU - Olsson, S.
AU - Brännlund, C.
AU - Brorsson, A.
AU - Bergström, D.
AU - Gustafsson, D.
PY - 2020
SP - 48
EP - 56
DO - 10.5220/0008947000480056
PB - SciTePress