57‐1: Spatiotemporal Noise Targets Inspired by Natural Imagery Statistics. Issue 1 (25th September 2020)

• Record Type: Journal Article
• Authors: Kunkel, Timo; Daly, Scott
• Is Part Of: Digest of technical papers. Volume 51:Issue 1(2020)
• Page Start: 842
• Page End: 845
• Publication Date: 2020-09-25
• Subjects: 1/f Noise -- Image Statistics -- Display Assessment; Information display systems -- Congresses; 621.3815422
• DOI: 10.1002/sdtp.14001
• Languages: English
• ISSNs: 0097-966X

Abstract

Abstract : There is a long tradition of using simple geometric synthetic test patterns for display and video metrology, and a somewhat newer tradition of using pictorial imagery for overall quality assessment, such as for subjective studies and demonstrations. Each of these key approaches have disadvantages. The synthetic targets can be stress testers that have no bearing on practical usage of the imaging system and act to drive up costs, while pictorial imagery can easily fail on robustness assessment and lack a foundation for analysis. To alleviate the shortcomings of both approaches, we propose a system of noise field videos designed using specific statistical parameters as a foundation for video test targets for display assessment, and also provide a tool to generate such videos.