{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.

Imaging luminance measurement is increasingly used in lighting applications, but the limited dynamic range of camera sensors requires using high dynamic range (HDR) imaging meth-ods for evaluating scenes with large luminance contrasts. This work aims at investigating which parameters of the HDR imaging techniques are the most crucial to produce accurate luminance measurements, using a numerical evaluation. A numerical framework based on digital twins of im-aging systems and synthetics luminance high contrast scenes is used to introduce controlled sys-tematic error sources and quantify their impact on HDR luminance accuracy. The results support the identification of HDR approaches most suitable for producing luminance measurements trace-able to the International System of Units (SI).

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-12
DOI
https://doi.org/10.5281/zenodo.18471937
Primary Topic
Image Enhancement Techniques
Type
article
Field-Weighted Citation Impact
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article

{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.

Constantinos A. Bouroussis, A. Sáez, Alejandro Ferrero, Alice Dupiau et al.
Zenodo (CERN European Organization for Nuclear Research)
Image Enhancement Techniques
article

{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.

Constantinos A. Bouroussis, A. Sáez, Alejandro Ferrero, Alice Dupiau, Markos Antonopoulos, Lou Gevaux
article en

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 meth-ods for evaluating scenes with large luminance contrasts. This work aims at investigating which parameters of the HDR imaging techniques are the most crucial to produce accurate luminance measurements, using a numerical evaluation. A numerical framework based on digital twins of im-aging systems and synthetics luminance high contrast scenes is used to introduce controlled sys-tematic error sources and quantify their impact on HDR luminance accuracy. The results support the identification of HDR approaches most suitable for producing luminance measurements trace-able to the International System of Units (SI).

Zenodo (CERN European Organization for Nuclear Research)
Office National d'Études et de Recherches Aérospatiales (FR), Swiss Federal Institute of Metrology (CH), Laboratoire National de Métrologie et d'Essais (FR), Institute of Communication and Computer Systems (GR), Instituto de Química Orgánica General (ES)
Openalex Percentile: Top 25%
Image Enhancement Techniques
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{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. — Constantinos A. Bouroussis, A. Sáez, et al. · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS