18‐2: Assessment of Image Quality in Augmented Reality Displays Using a Computational Model of Target Detectability. Issue 1 (28th June 2022)

• Record Type: Journal Article
• Authors: Zhao, Chumin; Beams, Ryan; Johnson, Matthew; Badano, Aldo
• Is Part Of: Digest of technical papers. Volume 53:Issue 1(2022)
• Page Start: 194
• Page End: 197
• Publication Date: 2022-06-28
• Subjects: Image quality -- augmented reality -- task-based model -- detectability -- contrast -- display response function; Information display systems -- Congresses; 621.3815422
• DOI: 10.1002/sdtp.15451
• Languages: English
• ISSNs: 0097-966X

Abstract

Abstract : We characterized augmented reality (AR) displays and developed a computational task‐based model to evaluate their image quality. The model enables fast assessment of image quality and evaluation of tradeoffs between display configurations such as display luminance response, uniformity, resolution, and noise. This work supports the development and optimization of AR displays without extensive measurements or resource‐intensive perception studies.