[1]夏振平,李晓华,崔渊,等.基于小波变换的闪烁背光LCD响应时间估算[J].东南大学学报(自然科学版),2011,41(1):37-40.[doi:10.3969/j.issn.1001-0505.2011.01.008]
 Xia Zhenping,Li Xiaohua,Cui Yuan,et al.Response time estimation of blinking backlight LCD based on wavelet transformation[J].Journal of Southeast University (Natural Science Edition),2011,41(1):37-40.[doi:10.3969/j.issn.1001-0505.2011.01.008]
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基于小波变换的闪烁背光LCD响应时间估算()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
41
期数:
2011年第1期
页码:
37-40
栏目:
电子科学与工程
出版日期:
2011-01-20

文章信息/Info

Title:
Response time estimation of blinking backlight LCD based on wavelet transformation
作者:
夏振平李晓华崔渊徐凯辉
(东南大学电子科学与工程学院,南京 210096)
Author(s):
Xia ZhenpingLi XiaohuaCui YuanXu Kaihui
(School of Electronic Science and Engineering, Southeast University, Nanjing 210096, China)
关键词:
液晶显示器闪烁背景光响应时间小波变换移动窗口积分滤波
Keywords:
liquid crystal display blinking backlight response time wavelet transformation moving window average filter
分类号:
TN949.6
DOI:
10.3969/j.issn.1001-0505.2011.01.008
摘要:
为了更准确、方便地估算闪烁背景光下的LCD液晶响应时间,利用小波变换法对测量得到的LCD亮度响应曲线进行滤波.通过实际测量连续背景光下五级灰度之间的液晶响应以及闪烁背景光的背景光响应,构造了闪烁背景光下的LCD亮度响应,利用小波变换滤波方法,通过小波分解、阈值处理、逆变换重构,还原了液晶响应信号,将估算得到的响应时间与真实值以及移动窗口积分方法的估算值进行比较.根据计算,移动窗口积分法的平均估算误差为7.535 5%,而小波变换滤波法的平均估算误差仅为1.966 5%.结果表明,小波变换滤波法对闪烁背景光技术下LCD液晶响应时间的估计比移动窗口积分法更加准确,而且应用简单,适应面广.
Abstract:
To estimate the liquid crystal response time (LCRT) of blinking backlight liquid crystal display (LCD) more precisely and conveniently, the wavelet transformation method is used to filter the measured light intensity response curve. The response curves between five gray levels under the continuous backlight and the response curve of blinking backlight were measured to simulate the LCD light intensity response. The wavelet transformation filter method was used to filter the simulated response curves through wavelet analysis, threshold disposal and reconstruction. The estimated LCRT was compared to the real one and the result of moving window average method. According to the calculation results, the average estimation error of moving window average method is 7. 535 5%, while the average estimation error of wavelet transformation filter method is only 1. 966 5%. The result shows that the wavelet transformation filter method is more precise than the moving window average method in LCRT estimation of blinking backlight LCD, and it can be easily applied and widely used.

参考文献/References:

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相似文献/References:

[1]宋文,李晓华,杨晓伟,等.基于视觉感知模型的LCD运动模糊分析[J].东南大学学报(自然科学版),2008,38(2):216.[doi:10.3969/j.issn.1001-0505.2008.02.006]
 Song Wen,Li Xiaohua,Yang Xiaowei,et al.LCD motion blur analysis based on human perceptual model[J].Journal of Southeast University (Natural Science Edition),2008,38(1):216.[doi:10.3969/j.issn.1001-0505.2008.02.006]

备注/Memo

备注/Memo:
作者简介:夏振平(1985—),男,博士生;李晓华(联系人),男,博士,教授,博士生导师,lxh@seu.edu.cn.
基金项目:国家自然科学基金资助项目(60571033)、国家高技术研究发展计划(863计划)资助项目(2008AA03A316)、东南大学博士点基金资助项目(6206000008).
引文格式: 夏振平,李晓华,崔渊,等.基于小波变换的闪烁背光LCD响应时间估算[J].东南大学学报:自然科学版,2011,41(1):37-40.[doi:10.3969/j.issn.1001-0505.2011.01.008]
更新日期/Last Update: 2011-01-20