PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 12, 2026Journal of Imaging0 citationsOpen Access

Evaluation of High Dynamic Range Imaging Methods for Luminance Measurements

LGLou GevauxAFAlejandro FerreroADAlice Dupiau

Key Points

  • The research investigates how HDR imaging parameters affect luminance measurement accuracy.
  • Developed a numerical simulation framework based on a digital twin of an imaging system.
  • Used synthetic high-contrast luminance scenes to introduce systematic error sources.
  • Quantified the impact of different HDR techniques on luminance accuracy.
  • Identified HDR imaging approaches that enhance measurement accuracy.
  • Demonstrated how specific parameters influence HDR performance in high-contrast scenarios.
  • Highlighted methods producing luminance measurements traceable to the International System of Units.

Abstract

Imaging luminance measurement is increasingly used in lighting applications, but the limited dynamic range of camera sensors requires using high dynamic range (HDR) imaging methods for evaluating scenes with large luminance contrasts. This work aims at investigating how parameters of HDR imaging techniques may impact luminance measurement accuracy, using a numerical evaluation. A numerical simulation framework based on a digital twin of an imaging system and synthetic high-contrast luminance scenes is used to introduce controlled systematic error sources and quantify their impact on HDR luminance accuracy. The results support the identification of HDR approaches most suitable for producing luminance measurements traceable to the International System of Units (SI).

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Gevaux et al. (2026) studied this question.

synapsesocial.com/papers/69b2586696eeacc4fcec8040https://doi.org/10.3390/jimaging12030114
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1{HiDyn} Deliverable D4 - Paper on the test and evaluation of algorithms for HDR image generation from LDR images submitted to an open access peer reviewed journal.2025
  2. 2{HiDyn} Deliverable D5 - Report describing the implementation of an open source HDR algorithm for the generation of traceable luminance images, scaled to one or a few traceable spot measurements of the scene.2025
  3. 3{HiDyn} Deliverable D6 - Report describing the verified HDR measurements (including nonlinearity, internal stray-light, and lens flare) and recommended procedures to characterise sensitivities dominating HDR imaging luminance measurements, as well as guidance on the determination of the uncertainty budget.2026
  4. 4Analysis and Evaluation of Software Tools for Creating HDR Images from LDR with Multiple Exposures2024
  5. 5Overview of High Dynamic Range Image Quality Assessment2024 · 1 citations