JOURNAL ARTICLE

P‐3.1: Research on Display Brightness Perception and Visual Comfort Representation Model.

  • Published In: SID Symposium Digest of Technical Papers, 2023, v. 54. P. 615 1 of 3

  • Database: Applied Science & Technology Source Ultimate 2 of 3

  • Authored By: He, Nailong; Zhang, Yuning; Huang, Chenyu; Wang, Wei; Wang, Baoping 3 of 3

Abstract

People's perception of brightness and visual comfort in different light environments are important indicators of display products. The perception of the brightness of the human eye is often different from the actual brightness of the display. This is because there is a difference between the perceived brightness and the physical brightness. The luminous body of the same physical brightness may give people different feelings, thus producing different perceived brightness. In the complex optical environment, the existing photoelectric measurement parameters may not be able to accurately describe the perception effect of the display device. The research on perceived brightness and visual comfort has a long history, but in view of the increasingly complex light environment and the development of diversified display equipment, the perceptual brightness model needs to be further modified and improved. Based on the modeling research of perceived brightness, this paper studies the perception mechanism of human eyes, analyzes the shortcomings of the current mainstream or new display devices, and proposes a more comfortable display technology based on people's viewing habits, ambient light and display content. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:SID Symposium Digest of Technical Papers. 2023/04, Vol. 54, p615
  • Document Type:Article
  • Subject Area:Religion and Philosophy
  • Publication Date:2023
  • ISSN:0097966X
  • DOI:10.1002/sdtp.16367
  • Accession Number:169772553
  • Copyright Statement:Copyright of SID Symposium Digest of Technical Papers is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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