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Two calibration models for compensation of the individual elements properties of self-emitting displays
O.A. Basova 1,2, S.A. Gladilin 2, A.S. Grigoryev 2, D.P. Nikolaev 2,3

1 Moscow Institute of Physics and Technology (National Research University),
141701, Moscow Region, Dolgoprudny, Institutsky pereulok 9, Russia;
2 Institute for Information Transmission Problems of Russian Academy of Sciences (Kharkevich Institute),
127051, Moscow, Bolshoy Karetny pereulok 19, Russia;
3 LLC "Smart Engines Service", 117312, Moscow, prospect 60-letiya Oktyabrya 9, Russia

 PDF, 2470 kB

DOI: 10.18287/2412-6179-CO-854

Страницы: 335-344.

Язык статьи: English.

Аннотация:
In this paper, we examine the applicability limits of different methods of compensation of the individual properties of self-emitting displays with significant non-uniformity of chromaticity and maximum brightness. The aim of the compensation is to minimize the perceived image non-uniformity. Compensation of the displayed image non-uniformity is based on minimizing the perceived distance between the target (ideally displayed) and the simulated image displayed by the calibrated screen. The S-CIELAB model of the human visual system properties is used to estimate the perceived distance between two images. In this work, we compare the efficiency of the channel-wise and linear (with channel mixing) compensation models depending on the models of variation in the characteristics of display elements (subpixels). It was found that even for a display with uniform chromatic subpixels characteristics, the linear model with channel mixing is superior in terms of compensation accuracy.

Ключевые слова:
displays; non-uniformity compensation; dead pixel compensation; display calibration; image enhancement; spatial filtering; spatial resolution; human visual system model; S-CIELAB.

Citation:
Basova OA, Gladilin SA, Grigoryev AS, Nikolaev DP. Two calibration models for compensation of the individual elements properties of self-emitting displays. Computer Optics 2022; 46(2): 335-344. DOI: 10.18287/2412-6179-CO-854.

Благодарности
This work was supported by Russian Science Foundation (Project No. 20-61-47089).

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