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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

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

 PDF, 2470 kB

DOI: 10.18287/2412-6179-CO-854

Pages: 335-344.

Full text of article: English language.

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.

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

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.

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


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