A novel local dimming algorithm to improve image contrast and visual quality

ZHANG Tao; WU Hong-ying; LI Meng; LEI Zhi-chun

doi:10.13374/j.issn2095-9389.2017.12.016

Volume 39 Issue 12

Dec. 2017

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ZHANG Tao, WU Hong-ying, LI Meng, LEI Zhi-chun. A novel local dimming algorithm to improve image contrast and visual quality[J]. Chinese Journal of Engineering, 2017, 39(12): 1888-1897. doi: 10.13374/j.issn2095-9389.2017.12.016

Citation:

ZHANG Tao, WU Hong-ying, LI Meng, LEI Zhi-chun. A novel local dimming algorithm to improve image contrast and visual quality[J]. Chinese Journal of Engineering, 2017, 39(12): 1888-1897. doi: 10.13374/j.issn2095-9389.2017.12.016

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A novel local dimming algorithm to improve image contrast and visual quality

doi: 10.13374/j.issn2095-9389.2017.12.016

1) School of Electrical Automation and Information Engineering, Tianjin University, Tianjin 300072, China
2) Shenzhen Huawei Technology Co., Ltd., Shenzhen 518129, China
3) Institute of Sensing and Measurement, University of Applied Sciences Ruhr West, North Rhine-Westphalia 45479, Germany

Received Date: 2017-03-06

Abstract

Abstract

With the emergence of high dynamic range (HDR) images and videos, improving the liquid crystal display (LCD) technology has become an urgent requirement. The development of HDR display systems is becoming the focus of research in the display technology. To improve the dynamic range of LCDs to the best possible extent, a local dimming algorithm based on dynamicthreshold backlight luminance extraction and two-step liquid crystal pixel compensation was proposed to improve the dynamic range of a backlight model and an LCD panel, thereby enhancing the contrast and visual quality of the dimmed image. The experimental results demonstrate that the proposed algorithm can improve the image contrast ratio by approximately 113.60% on average. Additionally, on the direct white light-emitting diode backlight LCD, specific images were used to verify the accuracy of the proposed algorithm. The display effects indicate that the layering and color of dimmed images are enhanced and the image contrast ratio is improved. Based on these results, it can be concluded that the proposed algorithm can effectively improve both the contrast of LCDs and the display quality.
- high dynamic range,
- local dimming,
- backlight luminance,
- pixel compensation,
- contrast ratio

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References(16)

References

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