Light & Engineering 31 (5)

Volume 31
Date of publication 10/10/2023
Pages 4–9

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Comparative Analysis of Colour Perception Models for Realistic Rendering of Synthetic Images L&E, Vol.31, No.5, 2023

Articles authors:

Vladimir P. Budak, Ilgiz R. Gallyamov, Daniil A. Kiselyov

Vladimir P. Budak, Professor, Doctor of Technical Sciences. In 1981, he graduated from the Moscow Power Engineering Institute (MPEI). At present, he is the Editor-in-Chief of the Svetotekhnika / Light & Engineering journals, Professor of the Subdepartment of Light and Engineering in NRU “MPEI”. Full member of the Academy of Electrotechnical Sciences of Russia

Ilgiz R. Gallyamov is the first year student of the master’s degree at NRU MPEI, faculty of Light and Engineering. His research interests: models of colour perception, human visual colour processing device, modelling and making up mathematical models

Daniil A. Kiselyov, is the first year master’s degree student at the NRU MPEI. His research interests are colour perception models, colour processing device of the human visual apparatus, modelling and compiling mathematical models of biophysical processes in the human visual apparatus

Abstract:

This paper analyses, visualizes, and compares the CIECAM97 and CIECAM02 colour perception models using expert evaluation. Justifications are presented, in which the bases of construction of these models are succinctly described. Also, the features of their implementation are given, which presents some differences in visualization. To implement the models we used MATLAB program, namely, its plugin Image Processing Toolbox, which allowed, by dividing the original image into an array of pixels, to make the necessary operations with them. By defining new observation conditions, visualization was built in such a way that the image obtained in the dark time of day is viewed on a bright monitor display. These implementations show how accurately enough to create an algorithm for colour perception by the human eye. As an initial image to demonstrate the work of the models, the concept of evening illumination of the facade of the building E of NRU “MPEI” is presented. Two presented models were evaluated in a group of 9 fourth year lighting engineering students of NRU “MPEI”. The perception of the images, constructed by using the CIECAM97 and CIECAM02 models of colour perception, was assessed on a 5-point scale. According to the results of the expert evaluation the conclusions were made which of the colour perception models is suitable for integration in virtual reality.

References:

1. Virtual Reality (VR) // [Electronic resource] URL: https://tadviser.com/index.php/Article: Virtual_Reality_(VR,_Virtual_Reality) (date of application 12.06.2022).
2. Budak, V., Emelianova, E. Realistic simulation of synthetic images on computer monitors based on the colour appearance model CIECAM02 // Proceedings 31st International Conference on Computer Graphics and Vision (GraphiCon 2021), Nizhny Novgorod, Russia, September 27–30, 2021, pp. 809–817.
3. Luo, M.R., Hunt, R.W.G. The Structure of the CIE1997 Colour Appearance Model (CIECAM97s) // Colour Res. Appl., 1998, Vol. 23, pp. 138–146.
4. Fairchild, M.D. Colour appearance model. Chichester: John Wiley & Sons, Ltd., 2013, 450 p.
5. Luckiesh, M., Guth, S.K. Brightness in visual field at borderline between comfort and discomfort (BCD) // Illuminating Engineering, 1949, Vol. 44, pp. 650–670.
6. Li, C.J., Gao, C., Luo, M.R. Modelling colour appearance for unrelated colours based on CAM16 // Proceedings 29th CIE SESSION, Washington D.C., USA, June 14–22, 2019, pp. 44–48.
7. Li, C., Li, Zh., Wang, Zh., Xu, Y., Luo, M.R., Cui, G., Melgosa, M., Brill, M.H., Pointer, M. Comprehensive colour solutions: CAM16, CAT16, and CAM16-UCS // Colour Research & Application, 2017, Vol. 42, pp. 703–718.

Keywords

DOI: https://doi.org/10.33383/2022-107

Article in RUS:
Svetotekhnika # 2, 2023, pp. 76–80

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