液晶显示全局动态调光算法的高效实现方法研究

刘芬; 张磊; 韩东; 吕国强

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液晶显示全局动态调光算法的高效实现方法研究

器件物理及器件制备技术 | 更新时间：2020-08-12

- 液晶显示全局动态调光算法的高效实现方法研究
- Efficient hardware implementations for global dimming in LCDs
- 液晶与显示 2014年29卷第1期页码：28-33
- 作者机构：
  
  1. 合肥工业大学光电技术研究院,安徽合肥,230009
  2. 合肥工业大学特种显示技术教育部重点实验室特种显示技术国家工程实验室现代显示技术省部共建国家重点实验室,安徽合肥,230009
  3. 合肥工业大学计算机与信息学院,安徽合肥,230009
  4. 合肥工业大学仪器科学与光电工程学院,安徽合肥,230009
- 作者简介：
- 基金信息：
  
  安徽省2012科技计划资助项目（No.1206c0805007）()
- DOI：
  中图分类号： TN27
- 收稿日期：2013-06-17，
  
  修回日期：2013-06-26，
  
  纸质出版日期：2014-02-15
- 稿件说明：
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刘芬, 张磊, 韩东, 吕国强. 液晶显示全局动态调光算法的高效实现方法研究[J]. 液晶与显示, 2014,29(1): 28-33

LIU Fen, ZHANG Lei, HAN Dong, LV Guo-qiang. Efficient hardware implementations for global dimming in LCDs[J]. , 2014,29(1): 28-33
刘芬, 张磊, 韩东, 吕国强. 液晶显示全局动态调光算法的高效实现方法研究[J]. 液晶与显示, 2014,29(1): 28-33 DOI：

LIU Fen, ZHANG Lei, HAN Dong, LV Guo-qiang. Efficient hardware implementations for global dimming in LCDs[J]. , 2014,29(1): 28-33 DOI：

摘要

动态调光算法包括背光值和液晶像素补偿量确定。通过查表法实现的基于图像分类的S曲线调光算法电路存在资源消耗大、处理速度慢等缺陷。本文提出了2种算法实现方式：等差数列法、最小二乘拟合法，并分别对这2种算法进行了仿真分析，得到其与查找法的最大标准差分别为1.8和0.8。在开发的全局调光液晶电视样机上进行了实际测试，和查表法得到的像素亮度相比：等差数列法的误差为3个灰度级，最小二乘法的误差在1个灰度级以内。2种算法都可使电路存储资源的利用率由原查表法的71%降低到4%。仿真和实验结果表明最小二乘法具有更好的效果。

Abstract

The dynamic dimming algorithm consists of two steps: dimming level determination and LC pixel compensation. Look-up-table method is applied in S-curve dimming algorithm based on image classification. In order to solve the shortcomings of large consumption of hardware resources and slow processing speed of this algorithm

this paper proposes two kinds of algorithm implementations: Arithmetic Sequence Method (ASM) and Least-squares Fitting Method (LSFM). The simulation results show that the largest standard deviation is 1.8 and 0.8 of ASM and LSFM

respectively. The practical tests have done on the LCD TV prototype. Compared to the luminance of pixels from look-up table method

the deviation of ASM is less than 3 graylevels and the deviation of LSFM is less than 1 gray-level. The hardware storage resource decreases from 71% of the proposed methods to 4% of look-up-table. The simulation and experimental results show that LSFM is better.

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references

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