Evaluation of tone mapping operators in night-time virtual worlds

The subjective quality of a virtual world depends on the quality of displayed images. In the present paper, we address a technical aspect of image quality in virtual environments. Due to the recent development of high dynamic range (HDR) imaging in computer graphics applications, tone mapping operators (TMO) are needed in the graphic pipeline, and their impact on the final image quality needs to be tested. Previous evaluations of such operators have emphasized the fact that the specific merit of a given operator may depend on both the scene and the application. The dynamic behavior of tone mapping operators was not tested before, and we have designed two psychophysical experiments in order to assess the relevance of various TMO for a specific class of virtual worlds, outdoor scenes at night and an interactive application, to explore an outdoor virtual world at night. In a first experiment, 5 HDR video clips were tone-mapped using 8 operators from the literature, resulting in 40 videos. These 40 videos were presented to 14 subjects, which were asked to rate their realism. However, the subject’s evaluation was not a direct comparison with the HDR videos. In a second experiment, 9 HDR photographs of urban scenes at night were tone-mapped with the same 8 operators. The resulting 72 photographs were presented to 13 subjects, at the location where the photographs were taken. The subjects were asked to rate the realism of each tone-mapped image, displayed on a laptop, with respect to the physical scene they experienced. The first experiment emphasized the importance of modeling the temporal visual adaptation for a night-time application.

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Source ISSN: 1359-4338
Author Petit, Josselin, Bremond, Roland, Tom, Ariane
Maintainer CCSD
Last Updated May 9, 2026, 13:09 (UTC)
Created May 9, 2026, 13:09 (UTC)
Identifier hal-00868076
Language en
contributor Laboratoire Exploitation, Perception, Simulateurs et Simulations (IFSTTAR/LEPSIS) ; Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Université Paris-Est Marne-la-Vallée (UPEM)
creator Petit, Josselin
date 2013-01-01T00:00:00
harvest_object_id d1141ec7-05e2-45b9-a2b5-c084b5b4e401
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2024-12-03T00:00:00
relation info:eu-repo/semantics/altIdentifier/doi/10.1007/s10055-012-0215-4
set_spec type:ART