计算机科学 ›› 2019, Vol. 46 ›› Issue (2): 255-260.doi: 10.11896/j.issn.1002-137X.2019.02.039

• 图形图像与模式识别 • 上一篇    下一篇

基于视觉特性的手机屏幕亮度自适应调节算法

李孟君, 黎文伟   

  1. 湖南大学信息科学与工程学院 长沙410000
  • 收稿日期:2017-12-26 出版日期:2019-02-25 发布日期:2019-02-25
  • 通讯作者: 黎文伟(1975-),男,博士,副教授,主要研究方向为网络测试与优化、网络管理,E-mail:50229023@qq.com。
  • 作者简介:李孟君(1993-),女,硕士生,主要研究方向为移动互联网,E-mail:1075105144@qq.com
  • 基金资助:
    本文受长沙市科技计划项目(kq1701035)资助。

Adaptive Adjustment Algorithm of Mobile Phone Screen Brightness Based on Visual Characteristics

LI Meng-jun, LI Wen-wei   

  1. College of Computer Science and Electronic Engineering,Hunan University,Changsha 410000,China
  • Received:2017-12-26 Online:2019-02-25 Published:2019-02-25

摘要: 人工智能技术的发展促使人们通过智能手机进行交互,因此设置适宜的手机屏幕亮度对于保护人眼健康至关重要。针对该问题,文中结合人眼视觉特性对手机屏幕自适应亮度调节算法进行了优化。首先,设计了两款测量工具来采集和分析相关的数据。然后,采用主观评价的方法对室内外不同环境照度条件下的手机亮度值进行了研究。实验结果显示,用户理想的手机屏幕亮度远远低于现有自动亮度调节下的手机屏幕亮度。最后,根据用户的体验和人体视觉的特性设计了相应的算法,并对算法进行了评估。

关键词: 测量环境照度, 视觉特性, 用户体验, 智能手机, 自适应屏幕亮度

Abstract: The development of artificial intelligence technology prompts people to interact with each other by smartphone,therefore,it is significant to set suitable phone screen brightness for keeping eyes healthy.In light of this problem,this paper optimized the adaptive adjustment algorithm of mobile phone screen brightness by combining the human visual characteristics.Firstly,this paper designed two measurement tools to collect and analyze relevant data.Then,this paper made use of the method of subjective evaluation to study the smartphone brightness under different indoor and outdoor illumination conditions.The experimental results show that the ideal mobile phone screen brightness is much lower than the screen brightness of mobile phones obtained by the existing automatic brightness adjustment.At last,according to users’ experience and the characteristics of human vision,this paper designed and evaluated corresponding algorithm.

Key words: Adaptive screen brightness, Measurement of ambient illumination, Smartphone, User experience, Visual characteristics

中图分类号: 

  • TP3-05
[1]GU L G,HAN F R.VDT operation and visual fatigue[J].Ergonomics,2004,10(3):58-60.(in Chinese)
顾力刚,韩福荣.VDT作业与视觉疲劳[J].人类工效学,2004,10(3):58-60.
[2]GAO C S,TIAN H,CAI R T.Effect of VDT operation on visual function and visual ergonomics[J].Ergonomics,1996(3):47-49.(in Chinese)
高传思,田华,蔡荣泰.VDT作业对视觉功能及视觉工效的影响[J].人类工效学,1996(3):47-49.
[3]ZHU Z X.The Effect of Brightness and Contrast of Computer Display Terminal CRT on Visual Function[J].Journal of Psychiatry,1987,19(3):221-227.(in Chinese)
朱祖祥.计算机显示终端CRT亮度对比度对视觉功能的影响[J].心理学报,1987,19(3):221-227.
[4]XU W,LIU W M.Experimental Study on Correct Recognition of the Brightness and Contrast Threshold of Fluorescent Screen (CRT) Color Characters under Different Background Brightness[J].Psychological Science,1992(2):26-31.(in Chinese)
许为,刘为民.不同屏面背景亮度下正确辨认荧光屏(CRT)颜色字符亮度对比度阈的实验研究[J].心理科学,1992(2):26-31.
[5]HELANDER M G,RUPP B A.An overview of standards and guidelines for visual display terminals [J].Applied Ergonomics,1984,15(3):185-195.
[6]SHIEH K K,LIN C C.Effects of screen type,ambient illumination,and color combination on VDT visual performance and subjective preference[J].International Journal of Industrial Ergonomics,2000,26(5):527-536.
[7]HOU Z Q,HAN C Z,ZHEN L,et al.A Visual Model Based Edge Detection Threshold Selection Strategy[J].Optoelectronic Engineering,2004,31(2):59-62.(in Chinese)
侯志强,韩崇昭,郑林,等.一种基于视觉模型的边缘检测阈值选择策略[J].光电工程,2004,31(2):59-62.
[8]GATTI F,ACQUAVIVA A,BENINI L,et al.Low Power Control Techniques For TFT LCD Displays[C]∥International Conference on Compilers,Architectures and Synthesis for Embedded Systems,CASES 2002.Greenoble,France,DBLP,2002:218-224.
[9]CHENG W C,PEDRAM M,et al.Power Minimization in a Backlit TFT-LCD Display by Concurrent Brightness and Contrast Scaling[J].IEEE Transactions on Consumer Electronics,2004,50(1):25-32.
[10]ZHONG L,JHA N K.Energy efficiency of handheld computer interfaces:limits,characterization and practice[C]∥ International Conference on Mobile Systems,Applications,and Ser-vices.DBLP,2005:247-260.
[11]CHENG L,MOHAPATRA S,ZARKI M E,et al.Quality-based backlight optimization for video playback on handheld devices[J].Advances in Multimedia,2007,2007(1):4.
[12]HE S,LIU Y,ZHOU H.Demo:Optimizing Smartphone Power Consumption through Dynamic Resolution Scaling[C]∥International Conference on Mobile Computing & Networking.ACM,2015:27-39.
[13]CHANG N,CHOU I,SHIM H,et al.DLS:dynamic backlight luminance scaling of liquid crystal display[J].IEEE Transactions on Very Large Scale Integration Systems,2004,12(8):837-846.
[14]IRANLI A,FATEMI H,PEDGRAM M.HEBS:Histogram Equalization for Backlight Scaling[C]∥ Design,Automation and Test in Europe,2005.IEEE,2005:346-351.
[15]LIN C H,HSIU P C,HSIEH C K.Dynamic Backlight Scaling Optimization:A Cloud-Based Energy-Saving Service for Mobile Streaming Applications[J].IEEE Transactions on Computers,2014,63(2):335-348.
[16]LIU Y,XIAO M,DONG M,et al.GoCAD:GPU-Assisted Online Content-Adaptive Display Power Saving for Mobile Devices in Internet Streaming[C]∥ International Conference on World Wide Web.International World Wide Web Conferences Steering Committee,2016:1329-1338.
[17]YAN Z,LIU Q,ZHANG T,et al.Exploring QoE for Power Efficiency:A Field Study on Mobile Videos with LCD Displays[C]∥ ACM International Conference on Multimedia.ACM,2015:431-440.
[18]SHIN D,KIM Y,CHANG N,et al.Dynamic Driver Supply Voltage Scaling for Organic Light Emitting Diode Displays[J].IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems,2013,32(7):1017-1030.
[19]DONG M,ZHONG L.Chameleon:A Color-Adaptive Web Brow- ser for Mobile OLED Displays[J].IEEE Transactions on Mobile Computing,2012,11(5):724-738.
[1] 曲倩文, 车啸平, 曲晨鑫, 李瑾如.
基于信息感知的虚拟现实用户临场感研究
Study on Information Perception Based User Presence in Virtual Reality
计算机科学, 2022, 49(9): 146-154. https://doi.org/10.11896/jsjkx.220500200
[2] 马思琪, 车啸平, 于淇, 岳晨峰.
基于事件的虚拟现实用户体验评估方法研究
Event-based User Experience Evaluation Method for Virtual Reality Applications
计算机科学, 2021, 48(2): 167-174. https://doi.org/10.11896/jsjkx.200100065
[3] 刘林芽, 吴送英, 左志远, 曹子文.
基于YOLOv3算法的山区铁路边坡落石检测方法研究
Research on Rockfall Detection Method of Mountain Railway Slope Based on YOLOv3 Algorithm
计算机科学, 2021, 48(11A): 290-294. https://doi.org/10.11896/jsjkx.201200113
[4] 陈超, 赵春蕾, 张春祥, 罗辉.
物联网声呐感知研究综述
Review of IoT Sonar Perception
计算机科学, 2020, 47(10): 9-18. https://doi.org/10.11896/jsjkx.200300138
[5] 韩立, 刘正捷.
CAUXT:帮助研究人员在感兴趣的情境中采集用户体验数据
CAUXT:A Tool to Help User Experience Researchers Capture Users’ Experience Data in Context of Interest
计算机科学, 2018, 45(7): 278-285. https://doi.org/10.11896/j.issn.1002-137X.2018.07.048
[6] 古晓艳,夏志强.
基于二维码的高校教学设备管理系统的设计与实现
Design and Implementation of Teaching Equipment Management System Based on Two-dimensional Code
计算机科学, 2017, 44(Z6): 523-525. https://doi.org/10.11896/j.issn.1002-137X.2017.6A.116
[7] 王伟,胡长武,郭栋,张静轩,常进达,张礼庆.
一种面向云构软件的云操作系统
Cloud Operating System for Cloudware
计算机科学, 2017, 44(11): 33-40. https://doi.org/10.11896/j.issn.1002-137X.2017.11.006
[8] 吴继杰,曹天杰,翟靖轩.
BlindLock:一种有效防范污迹攻击的图案锁系统
BlindLock:An Effective Pattern Lock System Against Smudge Attack
计算机科学, 2015, 42(Z11): 364-367.
[9] 陈希宏,金跃辉,杨 谈.
3G网络中移动视频质量评估模型的研究
Study on Quality Assessment Model for Mobile Videos over 3G Network
计算机科学, 2015, 42(9): 86-93. https://doi.org/10.11896/j.issn.1002-137X.2015.09.018
[10] 彭 乐 金 聪.
适用于Android智能手机的灰度均值水印算法
Digital Watermarking Algorithm for Android Smart Phones
计算机科学, 2015, 42(7): 85-90. https://doi.org/10.11896/j.issn.1002-137X.2015.07.018
[11] 谌国风,孔俊俊,郭耀,陈向群.
一种智能手机上下文信息获取的代价模型及其应用
Context Retrieval Cost Model on Smartphones and its Application
计算机科学, 2014, 41(11): 132-136. https://doi.org/10.11896/j.issn.1002-137X.2014.11.026
[12] 李娟妮,华庆一,姬翔.
移动环境中任务分析及任务建模方法
Task Analysis and Task Modeling Method in Mobile Environment
计算机科学, 2014, 41(10): 210-215. https://doi.org/10.11896/j.issn.1002-137X.2014.10.045
[13] 韩立,刘正捷,张军,陈媛嫄.
远程用户体验评估综述:工具、方法和挑战
Remote User Experience Evaluation Review:Tools,Methods and Challenges
计算机科学, 2014, 41(10): 196-203. https://doi.org/10.11896/j.issn.1002-137X.2014.10.043
[14] 杨曜,郭斌,於志文.
一种基于背景声音识别的移动社会活动推荐系统
Mobile Social Activity Recommendation System Based on Background Sound Recognition
计算机科学, 2014, 41(10): 62-66. https://doi.org/10.11896/j.issn.1002-137X.2014.10.014
[15] 丁扬,李石坚,叶志强,潘纲.
Scudware Mobile:支持可穿戴设备间数据及服务协同的移动中间件
Scudware Mobile:Mobile Middleware for Collaboration of Data and Services between Wearable Devices
计算机科学, 2014, 41(10): 57-61. https://doi.org/10.11896/j.issn.1002-137X.2014.10.013
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!