{"title":"Simulating Visual Contrast Reduction during Nighttime Glare Situations on Conventional Displays","authors":"B. Meyer, S. Grogorick, M. Vollrath, M. Magnor","doi":"10.1145/2934684","DOIUrl":null,"url":null,"abstract":"Bright glare in nighttime situations strongly decreases human contrast perception. Nighttime simulations therefore require a way to realistically depict contrast perception of the user. Due to the limited luminance of popular as well as specialized high-dynamic range displays, physical adaptation of the human eye cannot yet be replicated in a physically correct manner in a simulation environment. To overcome this limitation, we propose a method to emulate the adaptation in nighttime glare situations using a perception-based model. We implemented a postprocessing tone mapping algorithm that simulates the corresponding contrast reduction effect for a night-driving simulation with glares from oncoming vehicles headlights. During glare, tone mapping reduces image contrast in accordance with the incident veiling luminance. As the glare expires, the contrast starts to normalize smoothly over time. The conversion of glare parameters and elapsed time into image contrast during the readaptation phase is based on extensive user studies carried out first in a controlled laboratory setup. Additional user studies have then been conducted in field tests to ensure validity of the derived time-dependent tone-mapping function and to verify transferability onto real-world traffic scenarios.","PeriodicalId":50921,"journal":{"name":"ACM Transactions on Applied Perception","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2016-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Transactions on Applied Perception","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1145/2934684","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 3
Abstract
Bright glare in nighttime situations strongly decreases human contrast perception. Nighttime simulations therefore require a way to realistically depict contrast perception of the user. Due to the limited luminance of popular as well as specialized high-dynamic range displays, physical adaptation of the human eye cannot yet be replicated in a physically correct manner in a simulation environment. To overcome this limitation, we propose a method to emulate the adaptation in nighttime glare situations using a perception-based model. We implemented a postprocessing tone mapping algorithm that simulates the corresponding contrast reduction effect for a night-driving simulation with glares from oncoming vehicles headlights. During glare, tone mapping reduces image contrast in accordance with the incident veiling luminance. As the glare expires, the contrast starts to normalize smoothly over time. The conversion of glare parameters and elapsed time into image contrast during the readaptation phase is based on extensive user studies carried out first in a controlled laboratory setup. Additional user studies have then been conducted in field tests to ensure validity of the derived time-dependent tone-mapping function and to verify transferability onto real-world traffic scenarios.
期刊介绍:
ACM Transactions on Applied Perception (TAP) aims to strengthen the synergy between computer science and psychology/perception by publishing top quality papers that help to unify research in these fields.
The journal publishes inter-disciplinary research of significant and lasting value in any topic area that spans both Computer Science and Perceptual Psychology. All papers must incorporate both perceptual and computer science components.