Evaluation of High Dynamic Range Imaging Methods for Luminance Measurements
Lou Gevaux, Alejandro Ferrero, Alice Dupiau, Ángela Sáez, Markos Antonopoulos, Constantinos Bouroussis
TL;DR
This paper evaluates how different high dynamic range imaging techniques affect the accuracy of luminance measurements in lighting applications.
Contribution
The study introduces a numerical simulation framework using a digital twin to assess HDR methods for SI-traceable luminance measurements.
Findings
A digital twin-based simulation framework was developed to evaluate HDR luminance measurement accuracy.
Controlled error sources were introduced to identify HDR methods suitable for SI-traceable luminance measurements.
Results help determine which HDR approaches are most effective for high-contrast luminance scenes.
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).
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Taxonomy
TopicsImage Enhancement Techniques · Remote Sensing and LiDAR Applications · Thermoregulation and physiological responses