Flare in interference-based hyperspectral cameras

Eden Sassoon; Tali Treibitz; Schechner Yoav

doi:10.1109/ICCV.2019.01027

Flare in interference-based hyperspectral cameras

Eden Sassoon, Tali Treibitz, Schechner Yoav

Department of Marine Technologies

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Stray light (flare) is formed inside cameras by internal reflections between optical elements. We point out a flare effect of significant magnitude and implication to snapshot hyperspectral imagers. Recent technologies enable placing interference-based filters on individual pixels in imaging sensors. These filters have narrow transmission bands around custom wavelengths and high transmission efficiency. Cameras using arrays of such filters are compact, robust and fast. However, as opposed to traditional broad-band filters, which often absorb unwanted light, narrow band-pass interference filters reflect non-transmitted light. This is a source of very significant flare which biases hyperspectral measurements. The bias in any pixel depends on spectral content in other pixels. We present a theoretical image formation model for this effect, and quantify it through simulations and experiments. In addition, we test deflaring of signals affected by such flare.

Original language	English
Title of host publication	Proceedings - 2019 International Conference on Computer Vision, ICCV 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	10173-10181
Number of pages	9
ISBN (Electronic)	9781728148038
DOIs	https://doi.org/10.1109/ICCV.2019.01027
State	Published - Oct 2019
Event	17th IEEE/CVF International Conference on Computer Vision, ICCV 2019 - Seoul, Korea, Republic of Duration: 27 Oct 2019 → 2 Nov 2019

Publication series

Name	Proceedings of the IEEE International Conference on Computer Vision
Volume	2019-October
ISSN (Print)	1550-5499

Conference

Conference	17th IEEE/CVF International Conference on Computer Vision, ICCV 2019
Country/Territory	Korea, Republic of
City	Seoul
Period	27/10/19 → 2/11/19

Bibliographical note

Funding Information:
YYS is a Landau Fellow - supported by the Taub Foundation. His work is supported by the Israel Science Foundation (Grant 542/16). TT was supported by the Ministry of Science, Technology and Space (Grant 3-12487) and the Israel Science Foundation (Grant 680/18). The research was partly carried in the Ollendorff Minerva Center. Minerva is funded through the BMBF. We thank Aviad Avni, Mark Sheinin and Vadim Holodovsky for help in the experiments.

Publisher Copyright:
© 2019 IEEE.

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition

Access to Document

10.1109/ICCV.2019.01027

Cite this

Sassoon, E., Treibitz, T., & Yoav, S. (2019). Flare in interference-based hyperspectral cameras. In Proceedings - 2019 International Conference on Computer Vision, ICCV 2019 (pp. 10173-10181). Article 9010360 (Proceedings of the IEEE International Conference on Computer Vision; Vol. 2019-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCV.2019.01027

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title = "Flare in interference-based hyperspectral cameras",

abstract = "Stray light (flare) is formed inside cameras by internal reflections between optical elements. We point out a flare effect of significant magnitude and implication to snapshot hyperspectral imagers. Recent technologies enable placing interference-based filters on individual pixels in imaging sensors. These filters have narrow transmission bands around custom wavelengths and high transmission efficiency. Cameras using arrays of such filters are compact, robust and fast. However, as opposed to traditional broad-band filters, which often absorb unwanted light, narrow band-pass interference filters reflect non-transmitted light. This is a source of very significant flare which biases hyperspectral measurements. The bias in any pixel depends on spectral content in other pixels. We present a theoretical image formation model for this effect, and quantify it through simulations and experiments. In addition, we test deflaring of signals affected by such flare.",

author = "Eden Sassoon and Tali Treibitz and Schechner Yoav",

note = "Funding Information: YYS is a Landau Fellow - supported by the Taub Foundation. His work is supported by the Israel Science Foundation (Grant 542/16). TT was supported by the Ministry of Science, Technology and Space (Grant 3-12487) and the Israel Science Foundation (Grant 680/18). The research was partly carried in the Ollendorff Minerva Center. Minerva is funded through the BMBF. We thank Aviad Avni, Mark Sheinin and Vadim Holodovsky for help in the experiments. Publisher Copyright: {\textcopyright} 2019 IEEE.; 17th IEEE/CVF International Conference on Computer Vision, ICCV 2019 ; Conference date: 27-10-2019 Through 02-11-2019",

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Sassoon, E, Treibitz, T & Yoav, S 2019, Flare in interference-based hyperspectral cameras. in Proceedings - 2019 International Conference on Computer Vision, ICCV 2019., 9010360, Proceedings of the IEEE International Conference on Computer Vision, vol. 2019-October, Institute of Electrical and Electronics Engineers Inc., pp. 10173-10181, 17th IEEE/CVF International Conference on Computer Vision, ICCV 2019, Seoul, Korea, Republic of, 27/10/19. https://doi.org/10.1109/ICCV.2019.01027

Flare in interference-based hyperspectral cameras. / Sassoon, Eden; Treibitz, Tali; Yoav, Schechner.
Proceedings - 2019 International Conference on Computer Vision, ICCV 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 10173-10181 9010360 (Proceedings of the IEEE International Conference on Computer Vision; Vol. 2019-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Flare in interference-based hyperspectral cameras

Abstract

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Bibliographical note

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