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 language | English |
|---|---|
| Title of host publication | Proceedings - 2010 Digital Image Computing: Techniques and Applications, DICTA 2010 |
| Pages | 132-136 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 2010 Dec 1 |
| Event | International Conference on Digital Image Computing: Techniques and Applications, DICTA 2010 - Sydney, NSW, Australia Duration: 2010 Dec 1 → 2010 Dec 3 |
Other
| Other | International Conference on Digital Image Computing: Techniques and Applications, DICTA 2010 |
|---|---|
| Country | Australia |
| City | Sydney, NSW |
| Period | 10/12/1 → 10/12/3 |
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ASJC Scopus subject areas
- Computational Theory and Mathematics
- Computer Science Applications
Cite this
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 proceeding › Conference contribution
}
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 -