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Improved Methods of Glare Rating Assessment for High Dynamic Range Images L&E, Vol.33, No.5, 2025

Light & Engineering 33 (5) 2025

Volume 33
Date of publication 10/20/2025
Pages 32–40

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Improved Methods of Glare Rating Assessment for High Dynamic Range Images L&E, Vol.33, No.5, 2025
Articles authors:
Mikhail S. Kopylov, Elissey D. Birukov, Alexey G. Voloboy

Mikhail S. Kopylov, engineer. He graduated in 2009 from the Moscow Institute of Electronics and Mathematics (TU) in the specialty Computer-aided design systems. At present, he is a junior research fellow in the Department of Computer Graphics and Computational Optics of the Keldysh Institute of Applied Mathematics of the Russian Academy of Sciences. His research interests: physically accurate and photorealistic computer graphics, methods of image formation, script programming languages

Elissey D. Birukov graduated from the Moscow Institute of Electronics and Mathematics (Technical University) in 2009 with a degree in Computer-Aided Design Systems. At present, he is junior researcher in Department of Computer Graphics and Computational Optics at the Keldysh Institute of Applied Mathematics, RAS. His research interests: physically accurate and photorealistic computer graphics, ray tracing, ray optics and programming, he is the author of 20 articles on this topic

Alexey G. Voloboy, Doctor of Phys.-Math. Sciences. In 1988, he graduated from the Faculty of Mechanics and Mathematics of Moscow State University named after M.V. Lomonosov. He defended his Ph. D. thesis at the Institute of Applied Mathematics named after M.V. Keldysh RAS in 2005, doctoral dissertation in 2012. He is the leading researcher at the Department of Computer Graphics and Computational Optics at the Keldysh Institute of Applied Mathematics RAS. Area of his scientific interests: computer graphics, computational optics, ray tracing, illumination modelling. He is the author of more than 200 articles

Abstract:
This paper describes methods for assessment of a glare discomfort which is a critical aspect in lighting design for work and living spaces. Traditional methods work with small homogeneous light sources in three-dimensional space. In contrast, methods based on the analysis of high dynamic range images, obtained as a result of computer simulation, allow for early assessment of visual discomfort at the design stage of buildings. Particular attention is paid to the problem of calculating glare ratings for non-uniform light sources, such as LED lamps or windows with blinds. Improved methods are proposed, including a weighted average summation of pixel brightness for more accurate calculation of the Guth index, as well as a clustering mechanism for glare areas that takes into account spatial proximity and similarity of brightness characteristics. These methods provide a more adequate assessment of visual discomfort based on HDR images, which is confirmed by the results of testing in the Lumicept lighting simulation and photorealistic image generation system.
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