2.3: Evaluation and Reduction of Flicker with an AI Scheme in Autostereoscopic Displays. (4th October 2019)

• Record Type: Journal Article
• Authors: Chen, Mingjun; Zhang, Hantao; Liang, Weitang; Dai, Hanhong; Wang, Shuying; Li, Xiaoke; Li, Kunyang; Chen, Xuehao; Zhou, Jianying
• Is Part Of: Digest of technical papers. Volume 50(2019)Supplement 1
• Page Start: 22
• Page End: 24
• Publication Date: 2019-10-04
• Subjects: directional backlight autostereoscopic displays -- flicker -- AI scheme; Information display systems -- Congresses; 621.3815422
• DOI: 10.1002/sdtp.13370
• Languages: English
• ISSNs: 0097-966X

Abstract

Abstract : Flicker is one of the most prominent issues in directional backlight autostereoscopic displays. This work studies the flicker characterization over the entire screen with a high‐speed camera. The characterization method shows that it works well to adapt with the practical visual experience and it gives a global quantitative description of the flicker. An artificial intelligent scheme with motion prediction is established to reduce the flicker, which is proved to be effective.