Pixel-wise infrared tone remapping for rapid adaptation to high dynamic range variations

Daniel Griffiths, Tony Scoleri, Russell S.A. Brinkworth, Anthony Finn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Biological vision systems can perform target selection, pattern recognition, and dynamic range adaptation at capability levels far beyond that of human-designed methods. This paper applies a two-stage Biologically-Inspired Vision (BIV) model for image pre-processing and infrared tone remapping, derived from the visual pipeline of the hover y. The first stage performs spatially invariant, pixel-wise, intensity normalization, to intelligently compress scene dynamic range and enhance local contrasts using an adaptive gain control mechanism. The second stage of the model applies adaptive spatio-temporal filtering to reduce redundancy within image sequences. Our experiments demonstrate the strengths of the model on four practical tasks. For large targets, the model acts as a sophisticated edge extractor. The examples show the ability to retrieve the complete structure of a boat from sea clutter, increasing the global contrast factor by 165%. Secondly and thirdly, for small and weak-signature targets, segmentation is demonstrated. A filter is applied to track a 2x2 pixel dragon y without interruption, and a small maritime vessel, extracted as it passes in front of a larger vessel of similar emissivity. Finally, the power of the BIV model to rapidly compress dynamic range and normalize sudden changes in scene luminance is validated by means of incandescent pyrotechnic pellets launched from an aerial platform.

Original languageEnglish
Title of host publicationElectro-Optical and Infrared Systems
Subtitle of host publicationTechnology and Applications XVI
EditorsDuncan L. Hickman, Helge Bursing
Place of PublicationWashington
PublisherSPIE
ISBN (Electronic)9781510630215
ISBN (Print)9781510630215
DOIs
Publication statusPublished - 9 Oct 2019
Externally publishedYes
EventElectro-Optical and Infrared Systems: Technology and Applications XVI 2019 - Strasbourg, France
Duration: 11 Sep 201912 Sep 2019

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11159
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceElectro-Optical and Infrared Systems: Technology and Applications XVI 2019
CountryFrance
CityStrasbourg
Period11/09/1912/09/19

Keywords

  • Edge extraction
  • HDR
  • Image conditioning
  • Infrared
  • Small targets
  • Tone mapping
  • Weak signature

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  • Cite this

    Griffiths, D., Scoleri, T., Brinkworth, R. S. A., & Finn, A. (2019). Pixel-wise infrared tone remapping for rapid adaptation to high dynamic range variations. In D. L. Hickman, & H. Bursing (Eds.), Electro-Optical and Infrared Systems: Technology and Applications XVI [111590V] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11159). SPIE. https://doi.org/10.1117/12.2532511