Low-Power and High-Quality Display Driving Algorithm Based on Two-Line Model and Related FPGA Realization
CSTR:
Author:
Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    The short life of battery becomes the bottleneck that greatly undermines user's experience of smart phones due to the high power loss on display panel. To overcome the challenge, a low-power and high-quality display driving algorithm based on two-line model is proposed in this study. Firstly, the original image is converted from the RGB space to the YUV space. Subsequently, the average and maximum luminance values are calculated to enable the two-line model to be established based on the corresponding average and maximal luminance values. Finally, the YUV space is converted back to the RGB space and the renewed image is obtained after generating the renewed luminance under the assistance of the two-line model. The experimental results show that the MSE of image processed by the proposed algorithm is 30.9% and 29.9% lower than that processed by the NPC and the ACSC, respectively, with the lowest power consumption. Moreover, the proposed algorithm has been successfully verified on an FPGA board without causing a significant degradation of visual effect.

    Reference
    Related
    Cited by
Get Citation

黄成强,樊爱均,康帅.基于两段直线模型的低功耗高画质显示驱动算法研究及其FPGA实现.计算机系统应用,2019,28(3):165-171

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:October 09,2018
  • Revised:October 30,2018
  • Adopted:
  • Online: February 22,2019
  • Published:
Article QR Code
You are the firstVisitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-3
Address:4# South Fourth Street, Zhongguancun,Haidian, Beijing,Postal Code:100190
Phone:010-62661041 Fax: Email:csa (a) iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063