Abstract
The paper presents the research results concerning the end devices of multimedia paths. It is focused on the spectral characteristics of human vision, which are basic for the creation of light-to-signal converters. The influence of changes in the spectral characteristics of the sensitivity of the converters on the color rendition in the end-to-end multimedia path has been investigated. Changes in the spectral characteristics of the transducers caused by the refined spectral characteristics of CIE06 vision, supplemented with previously unknown characteristics of vision (ipRGC model), as well as one of the possible variants of color perception impairment (data of Prof. M. Neitz) have been considered. An algorithm has been presented, which allows calculating the spectral characteristics for new and promising light-to-signal converters, depending on the spectral characteristics of vision properties. Analytical expressions have been proposed, which makes it possible to correct the color signals of the existing light-to-signal converters to ensure the required level of color rendering quality in the end-to-end path. Estimates of the effectiveness of the proposed algorithm have been given.
Publisher
National Academy of Sciences of Ukraine (Co. LTD Ukrinformnauka) (Publications)
Subject
Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials
Reference22 articles.
1. 1. Recommendation BT.709-6, R. Parameters value for the HDTV standards for production and international program exchange. Geneva: ITU-R, 2015.
2. 2. Recommendation BT.2020-2, R. Parameter values for ultra-high definition television systems for production and international programme exchange. Geneva: ITU-R, 2015.
3. 3. Dovgiy S., Nebrat V., Sviridenko D., Babiychuk S. Science education in the age of industry 4.0: Challenges to economic development and human capital growth in Ukraine. Nauk. Visnyk Natsional. Hirnych. Universytetu. 2020. No 1. P. 146-151 (in Ukrainian).
4. 4. Gofaizen O.V. Matching of some color spaces for use in different industries and color spaces of television systems Proc. O.S. Popov ОNAT. 2013. 2. P. 33-40.
5. 5. Pyliavskyi V. Development of the algorithm of video image adaptation to spectral power distribution of illuminants. Eastern-European Journal of Enterprise Technologies. 2019. 1, No 9 (97). P. 58-67.
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