Image enhancement for reducing LCD backlight power based on human visual characteristics

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

One common way to reduce power consumption of display devices is to reduce the liquid crystal displays (LCD) backlight intensity since the main light source of LCD consumes 20∼50% of the total system power. In this paper, we propose a novel method of reducing LCD backlight power which maximizes the power reduction ratio and minimizes the visual image quality degradation based on the human visual system (HVS). The proposed method uses histogram to minimize the number of clipped pixels and keep the perceptual quality and the characteristics of image. In contrast to previous approach, the proposed method uses no look-up table and preserves the hue values and the perceptual white brightness. Experimental results show that 41.35% of backlight power is reduced on average without severe perceptual distortion.

Original languageEnglish
Title of host publicationProceedings - 2010 Digital Image Computing: Techniques and Applications, DICTA 2010
Pages132-136
Number of pages5
DOIs
Publication statusPublished - 2010 Dec 1
EventInternational Conference on Digital Image Computing: Techniques and Applications, DICTA 2010 - Sydney, NSW, Australia
Duration: 2010 Dec 12010 Dec 3

Other

OtherInternational Conference on Digital Image Computing: Techniques and Applications, DICTA 2010
CountryAustralia
CitySydney, NSW
Period10/12/110/12/3

Fingerprint

Image enhancement
Liquid crystal displays
Image quality
Light sources
Luminance
Electric power utilization
Pixels
Display devices
Degradation

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications

Cite this

Lee, S., Lee, H., & Sull, S. (2010). Image enhancement for reducing LCD backlight power based on human visual characteristics. In Proceedings - 2010 Digital Image Computing: Techniques and Applications, DICTA 2010 (pp. 132-136). [5692553] https://doi.org/10.1109/DICTA.2010.32

Image enhancement for reducing LCD backlight power based on human visual characteristics. / Lee, Sangjin; Lee, Hoonjae; Sull, Sanghoon.

Proceedings - 2010 Digital Image Computing: Techniques and Applications, DICTA 2010. 2010. p. 132-136 5692553.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Lee, S, Lee, H & Sull, S 2010, Image enhancement for reducing LCD backlight power based on human visual characteristics. in Proceedings - 2010 Digital Image Computing: Techniques and Applications, DICTA 2010., 5692553, pp. 132-136, International Conference on Digital Image Computing: Techniques and Applications, DICTA 2010, Sydney, NSW, Australia, 10/12/1. https://doi.org/10.1109/DICTA.2010.32
Lee S, Lee H, Sull S. Image enhancement for reducing LCD backlight power based on human visual characteristics. In Proceedings - 2010 Digital Image Computing: Techniques and Applications, DICTA 2010. 2010. p. 132-136. 5692553 https://doi.org/10.1109/DICTA.2010.32
Lee, Sangjin ; Lee, Hoonjae ; Sull, Sanghoon. / Image enhancement for reducing LCD backlight power based on human visual characteristics. Proceedings - 2010 Digital Image Computing: Techniques and Applications, DICTA 2010. 2010. pp. 132-136
@inproceedings{8d666b0b6a0b47debdf00a064a20f15e,
title = "Image enhancement for reducing LCD backlight power based on human visual characteristics",
abstract = "One common way to reduce power consumption of display devices is to reduce the liquid crystal displays (LCD) backlight intensity since the main light source of LCD consumes 20∼50{\%} of the total system power. In this paper, we propose a novel method of reducing LCD backlight power which maximizes the power reduction ratio and minimizes the visual image quality degradation based on the human visual system (HVS). The proposed method uses histogram to minimize the number of clipped pixels and keep the perceptual quality and the characteristics of image. In contrast to previous approach, the proposed method uses no look-up table and preserves the hue values and the perceptual white brightness. Experimental results show that 41.35{\%} of backlight power is reduced on average without severe perceptual distortion.",
author = "Sangjin Lee and Hoonjae Lee and Sanghoon Sull",
year = "2010",
month = "12",
day = "1",
doi = "10.1109/DICTA.2010.32",
language = "English",
isbn = "9780769542713",
pages = "132--136",
booktitle = "Proceedings - 2010 Digital Image Computing: Techniques and Applications, DICTA 2010",

}

TY - GEN

T1 - Image enhancement for reducing LCD backlight power based on human visual characteristics

AU - Lee, Sangjin

AU - Lee, Hoonjae

AU - Sull, Sanghoon

PY - 2010/12/1

Y1 - 2010/12/1

N2 - One common way to reduce power consumption of display devices is to reduce the liquid crystal displays (LCD) backlight intensity since the main light source of LCD consumes 20∼50% of the total system power. In this paper, we propose a novel method of reducing LCD backlight power which maximizes the power reduction ratio and minimizes the visual image quality degradation based on the human visual system (HVS). The proposed method uses histogram to minimize the number of clipped pixels and keep the perceptual quality and the characteristics of image. In contrast to previous approach, the proposed method uses no look-up table and preserves the hue values and the perceptual white brightness. Experimental results show that 41.35% of backlight power is reduced on average without severe perceptual distortion.

AB - One common way to reduce power consumption of display devices is to reduce the liquid crystal displays (LCD) backlight intensity since the main light source of LCD consumes 20∼50% of the total system power. In this paper, we propose a novel method of reducing LCD backlight power which maximizes the power reduction ratio and minimizes the visual image quality degradation based on the human visual system (HVS). The proposed method uses histogram to minimize the number of clipped pixels and keep the perceptual quality and the characteristics of image. In contrast to previous approach, the proposed method uses no look-up table and preserves the hue values and the perceptual white brightness. Experimental results show that 41.35% of backlight power is reduced on average without severe perceptual distortion.

UR - http://www.scopus.com/inward/record.url?scp=79951598790&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79951598790&partnerID=8YFLogxK

U2 - 10.1109/DICTA.2010.32

DO - 10.1109/DICTA.2010.32

M3 - Conference contribution

AN - SCOPUS:79951598790

SN - 9780769542713

SP - 132

EP - 136

BT - Proceedings - 2010 Digital Image Computing: Techniques and Applications, DICTA 2010

ER -