Affiliation:
1. Moscow Power Engineering Institute (MPEI)
Abstract
The research examined the changing of colour difference by the control colours depending on the choice of colour space when working with matrix photo detector. The spectral characteristics of photo detectors from different manufacturers noticeably differ from each other and from the addition the difference in colour quality between different digital devices. A software method for studying the colour rendition of the image obtained by digital devices based on the selection of an individual colour space for each matrix photo detector is proposed. To analyze and evaluate the capabilities of the spectral characteristics of matrix photo detectors, the control colour method based on the Mansell Atlas was used. The analysis of the obtained parameters of 14 colours was carried out according to various criteria for seven colour spaces: sRGB, AdobeRGB, DCI-P3 RGB, M1N1P1, PAL / SECAM, Wide Gamut RGB, ProPhoto RGB. Also studied the influence of the choice of colour space on the change in the coordinates of the source 6,500 K. Based on the colour differences of the control colours, it is possible to choose the optimal colour space for working with a specific matrix photo detector. The latter will reduce colour distortion at the initial stage of image registration. The ways for improving the colorimetric method of control colours are proposed as applied to digital devices at the software level.
Publisher
Redakcia Zhurnala Svetotekhnika LLC
Reference14 articles.
1. Zhbanova, VL. Colour separation systems for matrix pho-todetectors: monograph (Sistemy cvetodeleniya matrichnyh fotopriemnikov) [In Russian]. Smolensk: Universum. 2018. 186 p. ISBN978–5–91412–392–2
2. Domasev, M.V., Gnatyuk, S.P. Colour, colour management, colour calculations and meas-urements (Cvet, upravlenie cvetom, cvetovye raschety i izmereniya) [In Russian]. Saint Pe-tersburg, ‘’Piter ‘’. 2009. P. 224.
3. Richard F. Lyon, Paul M. Hubel. Eyeing the Camera: into the Next Century. IS&T Re-porter “The window on imaging”. 2002. Vol. 17. № 6.
4. Cepeda-Negrete, J. Dark image enhancement using per-ceptual colour transfer / J. Cepeda-Negrete, R. Sanchez-Yanez, F. Correa-Tome, R. Lizarraga-Morales / IEEE Access. 2018. Vol. 6. P. 14935–14945. DOI: 10.1109/ACCESS.2017.2763898.
5. Lozhkin, L.D., Osipov, O.V., Voronoj, A.A. Colour Correction in Tri-Colour Colour Devic-es (Cvetokorrekciya v trekhcvetnyh ustrojstvah cvetovosproizvedeniya) [In Russian]. Computer optics. 2017. Т. 41, № 1. P. 88–94. DOI: 10.18287/2412–6179–2017–41–1–88–94.
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