Work

{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.

Year: 2025

Type: article

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).

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.18471936

Authors: Gevaux, Lou, Ferrero, Alejandro, Dupiau, Alice, Saez, Angela, Antonopoulos, Markos, Bouroussis, Constantinos

Institutions: Laboratoire National de Métrologie et d'Essais, Office National d'Études et de Recherches Aérospatiales, Institute of Communication and Computer Systems, Swiss Federal Institute of Metrology

Language: English

Topic: Image Enhancement Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: European Commission

Award: G2737935586