基于小波变换的闪烁背光LCD响应时间估算  

Response time estimation of blinking backlight LCD based on wavelet transformation

作　　者：夏振平[1] 李晓华[1] 崔渊[1] 徐凯辉[1] 

机构地区：[1]东南大学电子科学与工程学院,南京210096

出　　处：《东南大学学报（自然科学版）》2011年第1期37-40,共4页Journal of Southeast University：Natural Science Edition

基　　金：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)

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.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.

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 

分 类 号：TN949.6[电子电信—信号与信息处理]