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Validation of High Dynamic Range Photography as a Tool to Accurately Represent Low-Illumination Scenes
Technical Paper
2012-01-0078
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Previous research [1] described a procedure for creating prints from digital photographs that accurately represent critical features of visual scenes at low levels of illumination. In this procedure, observers adjust the brightness of a digital photographs captured using standard photography until it best matches the visible characteristics of the actual scene. However, standard digital photography cannot capture the full dynamic range of a scene's luminous intensities in many low-illumination settings. High dynamic range (HDR) photography has the potential to more accurately represent a viewer's perception under low illumination. Such a capability can be critical to representing nighttime roadway scenes, where HDR photography can enable the creation of more accurate photographic representations of bright visual stimuli (e.g., vehicle headlamps, street lighting) while also maintaining the integrity of the photograph's darker portions. Using a photographed real-world, low-illumination scene, brightness adjustments and subjective ratings of the visibility of multiple objects were collected from naïve observers using the updated method with both standard and HDR photographs. A comparison of observers' ratings of the gamma-corrected photographs to the actual scene indicates that the HDR photograph represents a majority of the objects in the scene with greater fidelity than does the standard photograph. These findings support the validity of the updated method, using HDR photography, to produce accurate depictions of low-illumination scenes.
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Authors
Citation
Todd, J., Sala, J., Heckman, G., and Krauss, D., "Validation of High Dynamic Range Photography as a Tool to Accurately Represent Low-Illumination Scenes," SAE Technical Paper 2012-01-0078, 2012, https://doi.org/10.4271/2012-01-0078.Also In
References
- Krauss, D. Kuzel, M. Arndt, S. Delahunt, P. “Validation of Digital Image Representations of Low-Illumination Scenes,” SAE Technical Paper 2006-01-1288 2006 10.4271/2006-01-1288
- McCollough, F. “Complete Guide to High Dynamic Range Digital Photography,” Lark Books Asheville, NC 978-1600591969 2008
- CIE “Colorimetry” 2nd Bureau Central de la CIE (Commission Internationale de l'Eclairage) Paris 1986
- Brainard, D.H. “The Psychophysics Toolbox,” Spatial Vision 10 4 433 436 1997 10.1163/156856897X00357
- Clason, D.L. Dormody, T.J. “Analyzing Data Measured By Individual Likert-Type Items,” Journal of Agricultural Education 35 4 31 35 1994 10.5032/jae.1994.04031
- de Winter, J.C.F. Dodou, D. “Five-Point Likert Items: t test versus Mann-Whitney-Wilcoxon,” Practical Assessment, Research, & Evaluation 15 11 1 12 2010
- Gregoire, T.G. “Analysis of Likert-scale data revisited,” Psychological Bulletin 105 1 171 171 1989 10.1037/h0092469
- Rasmussen, J.L. “Analysis of Likert-scale data: A reinterpretation of Gregoire and Driver,” Psychological Bulletin 105 1 167 170 1989 10.1037/0033-2909.105.1.167
- Sheskin, D.J. “Handbook of Parametric and Nonparametric Statistical Procedures: Third Edition,” CRC Press Boca Raton, FL 978-1584884408 2004
- McCann, J.J. Rizzi, A. “Veiling glare: the dynamic range limit of HDR images,” Proceedings of SPIE, 6492, 649213-649213-10 2007 10.1117/12.703042
- Talvala, E.-V. Adams, A. Horowitz, M. Levoy, M. “Veiling glare in high dynamic range imaging,” ACM Transactions on Graphics 26 3 37 2007 10.1145/1276377.1276424