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Evaluation of High Dynamic Range Imaging Methods for Luminance Measurements.

Lou Gevaux1, Alejandro Ferrero2, Alice Dupiau1

  • 1Laboratoire Commun de Métrologie LNE-Cnam (EA 2367), Conservatoire National des Arts et Métiers, 93210 Saint Denis, France.

Journal of Imaging
|March 27, 2026
PubMed
Summary
This summary is machine-generated.

High dynamic range (HDR) imaging techniques are crucial for accurate luminance measurements in lighting applications. This study numerically evaluates HDR parameters to identify methods ensuring traceable measurements to the International System of Units (SI).

Keywords:
HDRcamera modelimagingluminancemetrology

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Area of Science:

  • Optics and Photonics
  • Metrology
  • Computer Vision

Background:

  • Imaging luminance measurement is vital in lighting applications.
  • Limited camera sensor dynamic range necessitates high dynamic range (HDR) imaging for high-contrast scenes.
  • Accurate luminance measurements require understanding HDR technique parameter impacts.

Purpose of the Study:

  • To investigate the impact of high dynamic range (HDR) imaging parameters on luminance measurement accuracy.
  • To identify HDR approaches suitable for luminance measurements traceable to the International System of Units (SI).

Main Methods:

  • Numerical evaluation using a digital twin of an imaging system.
  • Simulation of synthetic high-contrast luminance scenes.
  • Controlled introduction and quantification of systematic error sources in HDR luminance accuracy.

Main Results:

  • Quantified the impact of systematic errors on HDR luminance measurement accuracy.
  • Identified specific HDR imaging parameters influencing measurement precision.
  • Provided data supporting the selection of SI-traceable HDR methods.

Conclusions:

  • Numerical simulations are effective for evaluating HDR imaging techniques for luminance measurement.
  • Understanding parameter impacts is key to achieving accurate and traceable luminance measurements.
  • This work guides the selection of optimal HDR methods for metrological applications in lighting.