ProLab: A Perceptually Uniform Projective Color Coordinate System

Konovalenko, Ivan; Smagina, Anna; Nikolaev, Dmitry P.; Nikolaev, Petr P.

doi:10.1109/access.2021.3115425

Cited by 15 publications

(9 citation statements)

References 68 publications

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“…We find such an approach to be optimal for proLab as well as for CIELAB, since for both systems the inaccuracy in uniformity is too significant to be fixed by a separate optimization. That is why for light sources other than D65, we suggest using the same elements of the matrix Q as in (44).…”

Section: Discussionmentioning

confidence: 99%

“…• The transformation from CIE XYZ to proLab has an elegant analytical expression, and it is computationally efficient compared with CAM16-UCS and the even more primitive CIELAB. We presented the idea of constructing the proLab coordinate system for the first time at 25th Symposium of the International Society for Color Vision in 2019 [44], but the construction methodology and a numerical study of proLab properties in detail are discussed for the first time in the current work . Moreover, the model parameters have been estimated more accurately compared to the one presented at the Symposium.…”

Section: G Proposed Colour Coordinate Systemmentioning

confidence: 99%

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ProLab: perceptually uniform projective colour coordinate system

Konovalenko,

Smagina,

Nikolaev

et al. 2020

Preprint

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Section: Discussionmentioning

confidence: 99%

Section: G Proposed Colour Coordinate Systemmentioning

confidence: 99%

ProLab: perceptually uniform projective colour coordinate system

Konovalenko,

Smagina,

Nikolaev

et al. 2020

Preprint

Self Cite

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show abstract

“…After a period of pressurisation, it is found that the luminescence phenomenon first occurs near the electrode, and it is a distinct green light as shown in Figure 3g. The Commission Internationale de L'Eclairage (CIE) coordinate (X, Y) is used to quantitatively represent the luminescent colours [38,39], where X represents the red component and Y represents the green component. As shown in Figure 3h, all the monochromatic light lies on the tongue curve, and the specific location of the colour light emitted by the sample is marked as (0.2413, 0.5915), which is within the range of green light.…”

Section: Microstructure and Luminescence Analysismentioning

confidence: 99%

Optimising the electroluminescence performance of ZnS: Cu/epoxy composites via exploring the relationship between electroluminescence intensity and filler intrinsic attributes

Liu

Chen

et al. 2022

High Voltage

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Electroluminescent composites have considerable potential for applications in photoelectric display, electric field measurement and other fields due to their advantages of simple preparation and uniform luminescence. However, high voltage required by the operation of electroluminescent composites hinders their applications in the electric domain, and research on the relationship between electroluminescence principle of composites and filler intrinsic attributes is insufficient. In this paper, the effects of electric field strength, filler mass fraction and voltage frequency on the electroluminescence intensity of ZnS: Cu/epoxy composites are studied, which are majorly used as the luminescent layer of electroluminescent devices. To enhance the electroluminescence intensity of composites, high-temperature sintered BaTiO 3 and zinc oxide whiskers (ZnOw) particles are introduced in the base matrix. The finite element method is applied to verify that the matrix of high dielectric constant is in favour of improving the electroluminescence intensity of composites. The band structure of the ZnS: Cu particle is calculated based on the density functional theory + U method to analyse the intrinsic relationship between electroluminescence and particle electronic structure. This paper provides a basis for the research of high electroluminescence intensity devices and will be conducive to better understanding on the relationship between electroluminescence principle and filler intrinsic attributes.

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“…The spatial filtering method employed in S-CIELAB can be also utilized in different color coordinates and color difference metrics, such as those proposed in [28,29]. Furthermore, another model, N-CIELAB [30], can be used to simulate the properties of the contrast sensitivity of the human visual system.…”

Section: Similarity Assessment Between the Two Imagesmentioning

confidence: 99%

Two calibration models for compensation of the individual elements properties of self-emitting displays

Басова¹,

Gladilin²,

Grigoryev³

et al. 2022

Computer Optics

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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.

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ProLab: A Perceptually Uniform Projective Color Coordinate System

Abstract: The work was partially financially supported by RFBR in the context of scientific projects N o N o 17-29-03370 and 19-29-09075.

Cited by 15 publications

References 68 publications

ProLab: perceptually uniform projective colour coordinate system

ProLab: perceptually uniform projective colour coordinate system

Optimising the electroluminescence performance of ZnS: Cu/epoxy composites via exploring the relationship between electroluminescence intensity and filler intrinsic attributes

Two calibration models for compensation of the individual elements properties of self-emitting displays

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