Adaptive charge sharing method for liquid crystal displays with lower power consumption

Seung-Ryeol Kim; Jong-Man Kim; Minkoo Kim; Seung-Woo Lee

doi:10.1117/1.OE.54.5.053111

15 May 2015 Adaptive charge sharing method for liquid crystal displays with lower power consumption

Seung-Ryeol Kim, Jong-Man Kim, Minkoo Kim, Seung-Woo Lee

Author Affiliations +

Optical Engineering, Vol. 54, Issue 5, 053111 (May 2015). https://doi.org/10.1117/1.OE.54.5.053111

Abstract

This paper proposes an adaptive charge sharing (ACS) method for reducing power consumption in liquid crystal displays (LCDs). Our ACS method involves calculating the power consumption of all data lines assuming the charge is shared and analyzing the analog characteristics of the data transitions. With conventional CS, charge is shared between data lines only when the polarities of data signals change. Our ACS method selectively shares charge even when no polarity change occurs, but only if CS provides an overall reduction in power consumption. To compare the performance of ACS and conventional CS, we applied the ACS method to common inversion methods, namely, column, two-dot, and Z inversion. Our simulation results demonstrate that the ACS method can effectively reduce power consumption, especially with the column and Z inversion methods. The average power consumption of the ACS method with column and Z inversion was 87.7% and 84.7%, respectively, of the conventional CS power consumption.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Seung-Ryeol Kim, Jong-Man Kim, Minkoo Kim, and Seung-Woo Lee "Adaptive charge sharing method for liquid crystal displays with lower power consumption," Optical Engineering 54(5), 053111 (15 May 2015). https://doi.org/10.1117/1.OE.54.5.053111

Published: 15 May 2015

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KEYWORDS

LCDs

Analog electronics

Internet

Optical engineering

Image analysis

Video

Mobile devices

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