Image-classification-based global dimming algorithm for LED backlights in LCDs

被引：9
|
作者：
Feng Qibin [1 ]
He Huijie [1 ,3 ]
Han Dong [1 ,3 ]
Zhang Lei [1 ,4 ]
Lv Guoqiang [1 ,2 ]
机构：
[1] Minist Educ, Key Lab Special Display Technol, Natl Key Lab Adv Display Technol, Natl Engn Lab Special Display Technol, Beijing, Peoples R China
[2] Hefei Univ Technol, Acad Photoelect Technol, Hefei, Peoples R China
[3] Hefei Univ Technol, Sch Instrumentat & Optoelect Engn, Hefei 230009, Peoples R China
[4] Hefei Univ Technol, Sch Comp & Informat, Hefei 230009, Peoples R China
来源：
OPTICS AND LASER TECHNOLOGY | 2015年 / 70卷
关键词：
LED backlight; Global dimming; Image classification; Contrast; LOW-POWER; CONTRAST ENHANCEMENT; REDUCTION;
D O I：
10.1016/j.optlastec.2014.12.021
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
Backlight dimming can help LCDs reduce power consumption and improve CR. With fixed parameters, dimming algorithm cannot achieve satisfied effects for all kinds of images. The paper introduces an image-classification-based global dimming algorithm. The proposed classification method especially for backlight dimming is based on luminance and CR of input images. The parameters for backlight dimming level and pixel compensation are adaptive with image classifications. The simulation results show that the classification based dimming algorithm presents 86.13% power reduction improvement compared with dimming without classification, with almost same display quality. The prototype is developed. There are no perceived distortions when playing videos. The practical average power reduction of the prototype TV is 18.72%, compared with common TV without dimming. (C) 2015 Published by Elsevier Ltd.
引用
收藏
页码：106 / 111
页数：6
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