Influence of spectral characteristics inherent to cameras on color rendering in the multimedia images

Author:

Pyliavskyi V.V.,

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.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Comparison of Metamerism Estimates in Video Paths using CAM's Models;2022 IEEE 9th International Conference on Problems of Infocommunications, Science and Technology (PIC S&T);2022-10-10

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3