Flare in interference-based hyperspectral cameras

Eden Sassoon, Tali Treibitz, Schechner Yoav

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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 languageEnglish
Title of host publicationProceedings - 2019 International Conference on Computer Vision, ICCV 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages9
ISBN (Electronic)9781728148038
StatePublished - Oct 2019
Event17th IEEE/CVF International Conference on Computer Vision, ICCV 2019 - Seoul, Korea, Republic of
Duration: 27 Oct 20192 Nov 2019

Publication series

NameProceedings of the IEEE International Conference on Computer Vision
ISSN (Print)1550-5499


Conference17th IEEE/CVF International Conference on Computer Vision, ICCV 2019
Country/TerritoryKorea, Republic of

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


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