Low-power response time accelerator with full resolution for LCD panel

Tae Chan Kim, Meejoung Kim, Chulwoo Kim, Bong Young Chung, Soo Won Kim

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In recent years, power consumption has become one of the most critical design concerns in designing VLSI systems. The reduction of power consumption in displayers is inevitably required by the emergence of mobiles, fast systems, and et cetera. There are many reported problems associated with the response time of an LCD display, typically termed as afterimage specially when a motion picture video is being played on an LCD panel. To reduce afterimage artifacts, a new 'overdrive' method, named as Response Time Acceleration (RTA) is proposed in this paper. The proposed 'overdrive' method effectively controls truncation and quantization errors present in the conventional ones only with a few incremental gates. Furthermore the proposed 'overdrive' method provides two solutions with a shorten table memory while keeping full resolution and reducing power consumption. Test results show that the power consumption is reduced with the proposed method by 41% compared with conventional methods.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsJorge Juan Chico, Enrico Macii
PublisherSpringer Verlag
Pages319-327
Number of pages9
ISBN (Electronic)3540200746, 9783540200741
DOIs
Publication statusPublished - 2003

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2799
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Kim, T. C., Kim, M., Kim, C., Chung, B. Y., & Kim, S. W. (2003). Low-power response time accelerator with full resolution for LCD panel. In J. J. Chico, & E. Macii (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 319-327). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2799). Springer Verlag. https://doi.org/10.1007/978-3-540-39762-5_38