Evaluating Luminance Uniformity Metrics Using Online Experiments

References

• Abboushi B, Bermudez ER-F, Irvin L, Feagin B, Royer M, Davis R. 2021. Examining perceptual luminance uniformity of simulated luminaire patterns. In: Kim JK, Krames MR, Strassburg M, editors. Light-emitting devices, materials, and applications XXV. Vol. 11706. SPIE; p. 115–124. doi:10.1117/12.2577901
   Google Scholar
• Armstrong JD. 1990. A new measure of uniformity for lighting installations. J Illum Eng Soc. 19(2):84–89.
   Google Scholar
• Ashdown I. 1996. Luminance gradients: photometric analysis and perceptual reproduction. J Illum Eng Soc. 25(1):69–82.
   Google Scholar
• Barten PGJ. 1992, August. Physical model for the contrast sensitivity of the human eye. Hum Vision, Vis Process Digit Disp III. 1666:57. doi:10.1117/12.135956
   Google Scholar
• Bullough J, Sweater Hickcox K. 2012. Interactions among light source luminance, illuminance and size on discomfort glare. SAE Int J Passeng Cars - Mech Syst. 5(1):199–202.
   Google Scholar
• CIE. 2019. Discomfort caused by glare from luminaires with a non-uniform source luminance (CIE 232:2019). Vienna (Austria): CIE.
   Google Scholar
• CIE. 2020. Luminance uniformity. ILV: international lighting vocabulary CIE S 017/E:2020. 2nd ed. Vienna. https://cie.co.at/e-ilv.
   Google Scholar
• Cohen J. 1988. Statistical power analysis for the behavioural sciences. 2nd ed. Mahwah: Erlbaum.
   Google Scholar
• Comida and Anastasia. 2017. “Luminance HDR 2.5.1 – HDR imaging workflow application”. http://qtpfsgui.sourceforge.net/
   Google Scholar
• Dorr M, Lesmes LA, Elze T, Wang H, Lu Z-L, Bex PJ. 2017. Evaluation of the precision of contrast sensitivity function assessment on a tablet device. Sci Rep. 7(1):46706.
   PubMedGoogle Scholar
• Fabozzi F, Focardi S, Rachev S, Arshanapalli B. 2014. Appendix E: model selection criterion: AIC and BIC. In: The basics of financial econometrics. John Wiley & Sons, Ltd; p. 399–403. https://onlinelibrary.wiley.com/doi/abs/10.1002/9781118856406.app5.
   Google Scholar
• Faul F, Erdfelder E, Lang AG, Buchner A. 2007. G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods. 39(2):175–191.
   PubMed Web of Science ®Google Scholar
• Gago-Calderón A, Hermoso-Orzáez MJ, De Andres-Diaz JR, Redrado-Salvatierra G 2018. Evaluation of uniformity and glare improvement with low energy efficiency losses in street lighting LED luminaires using laser-sintered polyamide-based diffuse covers. Energies. 11(4). doi:10.3390/en11040816
   Web of Science ®Google Scholar
• Geerdinck LM, Van Gheluwe JR, Vissenberg MCJM. 2014. Discomfort glare perception of non-uniform light sources in an office setting. J Environ Psychol. 39. doi:10.1016/j.jenvp.2014.04.002
   Web of Science ®Google Scholar
• Harris CR, Millman KJ, van der Walt SJ, Gommers R, Virtanen P, Cournapeau D, Wieser E, Taylor J, Berg S, Smith NJ, et al. 2020. Array programming with NumPy. Nature. 585(7825):357–362. doi:10.1038/s41586-020-2649-2.
   PubMed Web of Science ®Google Scholar
• Holm S. 1979. A simple sequentially rejective multiple test procedure. Scand J Stat. 6(2):65–70.
   Web of Science ®Google Scholar
• Hunter JD. 2007. Matplotlib: a 2D graphics environment. Comput Sci \& Eng. 9(3):90–95.
   Web of Science ®Google Scholar
• Inanici M. 2006. Evaluation of high dynamic range photography as a luminance data acquisition system. Light Res Technol. 38(2):123–136.
   Web of Science ®Google Scholar
• Irvin L, Feagin B, Bermudez ER-F, Royer M 2020. Developing high dynamic range imaging procedures for luminance uniformity measurement. In: Proceedings of the 2020 Illuminating Engineering Society Annual Conference. Virtual: IES.
   Google Scholar
• Kohko S, Ayama M, Iwata M, Kyoto N, Toyota T. 2015. Study on evaluation of LED lighting glare in pedestrian zones. J Light Vis Environ. 39:15–25.
   Google Scholar
• Kvalseth T. 1983. Note on the R2 measure of goodness of fit for nonlinear models. Bull Psychon Soc. 21(1):79–80.
   Google Scholar
• Moreno I. 2010. Illumination uniformity assessment based on human vision. Opt Lett. 35(23):4030.
   PubMed Web of Science ®Google Scholar
• Ngai PY. 2000. The relationship between luminance uniformity and brightness perception. J Illum Eng Soc. 29(1):41–50.
   Google Scholar
• Park J, Loftness V, Aziz A, Wang TH. 2021. Strategies to achieve optimum visual quality for maximum occupant satisfaction: field study findings in office buildings. Build Environ. 195(2):107458.
   Google Scholar
• Pierson C, Cauwerts C, Bodart M, Wienold J. 2021. Tutorial: luminance maps for daylighting studies from high dynamic range photography. LEUKOS. 17(2):140–169.
   Web of Science ®Google Scholar
• Rozowicz A, Lesko M, Wachta H 2016. The technical possibilities of losses reduction in the LED optical systems. Proc 2016 IEEE Light Conf Visegr Countries, Lumen V4 2016. doi:10.1109/LUMENV.2016.7745534.
   Google Scholar
• Simonson K, Narendran N, Boyce P, Bierman A. 2003. Development of a metric to quantify beam quality of reflectorized lamps. J Illum Eng Soc. 32(1):63–72.
   Google Scholar
• Spiess A-N, Neumeyer N. 2010. An evaluation of R2 as an inadequate measure for nonlinear models in pharmacological and biochemical research: a Monte Carlo approach. BMC Pharmacol. 10(1):6.
   PubMedGoogle Scholar
• Sprow I, Zolliker P, Baranczuk Z, Stamm T, Zolliker P. 2009. Web-based psychometric evaluation of image quality. In: Farnand SP, Gaykema F, editors. Image quality and system performance VI. Vol. 7242. SPIE; p. 95–106. doi:10.1117/12.805313
   Google Scholar
• Tashiro T, Kawanobe S, Kimura-Minoda T, Kohko S, Ishikawa T, Ayama M. 2015. Discomfort glare for white LED light sources with different spatial arrangements. Light Res Technol. 47(3):316–337.
   Web of Science ®Google Scholar
• Villa C, Labayrade R. 2013. Validation of an online protocol for assessing the luminous environment. Light Res Technol. 45(4):401–420.
   Web of Science ®Google Scholar
• Ward G 2011. raw2hdr. http://www.anyhere.com/gward/pickup/raw2hdr.tgz.
   Google Scholar
• Yang Y, Luo MR, Ma SN. 2017b. Assessing glare. Part 2: modifying unified glare rating for uniform and non-uniform LED luminaires. Light Res Technol. 49(6):727–742.
   Web of Science ®Google Scholar
• Yang Y, Ronnier M, Ma SN, Liu XY. 2017a. Assessing glare. Part 1: comparing uniform and non-uniform LED luminaires. Light Res Technol. 49(2):195–210.
   Web of Science ®Google Scholar
• Yao Q, Zhong B, Shi Y, Ju J. 2017. Evaluation of several different types of uniformity metrics and their correlation with subjective perceptions. LEUKOS - J Illum Eng Soc North Am. 13(1):33–45.
   Google Scholar