Session and scheduling information are listed below. Select a session from the list and press "Go" to view the abstracts for that session.
Session
79
: Low-Power Driving Technologies |
Display Electronics
|
Thursday, May 16 / 03:10 PM - 4:30 PM / San Jose Convention Center, LL20BC
Chair:
Jacob (Minhyuk) Choi, Meta, Menlo Park, CA US
Co-Chair:
Carlin Vieri, Google, Mountain View, CA US
79.1 - Invited Paper: Adaptive Local Backlight Dimming Control with Local Boosting (3:10 PM - 3:30 PM)
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Jaechan Cho, Jongsang Yoo, Junyoung Park, Ji Won Lee
LX Semicon Seoul South Korea
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Sukju Kang
Sogang University Seoul South Korea
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Local backlight dimming (LBD) technology has application for automotive, notebook PC, and virtual reality displays, which could trade off between power saving and visual quality. This paper proposes adaptive local backlight dimming control, which could reduce the power consumption of the backlight and improve the quality of the display. In performance evaluation by FPGA, the authors achieved 7.54% power saving with visual improvement in high-contrast regions.
79.2 - Peripheral Dimming Technique Depending on Field-of-View for Low-Power Head-Mounted Devices (3:30 PM - 3:50 PM)
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Jeong-Soo Park, Won-Been Jeong, Seung-Woo Lee
Kyung Hee University Seoul South Korea
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This paper proposes a peripheral dimming technology, which reduces image brightness in the peripheral area, based on the human visual system. This study presents how peripheral dimming should be applied depending on the screen field of view (FoV) the user watches. Threshold conditions for peripheral dimming of various FoVs are derived through user study in an environment simulating virtual reality. In conclusion, the display power consumed can be significantly reduced by using this technology.
79.3 - Novel MiniLED Pixel Circuit with PWM Driving Method for Decreasing Power Consumption (3:50 PM - 4:10 PM)
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Cheng-Han Ke, Yi-Chien Chen, Chih-I Liu, Yu-Chang Chiu, Chih-Lung Lin
National Cheng Kung University Tainan Taiwan Roc
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Ming-Yang Deng
AUO Corporation Hsinchu Taiwan Roc
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This paper proposes a miniLED pixel circuit that employs the PWM driving method to decrease power consumption. To achieve miniLED current uniformity, the proposed circuit compensates for threshold voltage variations of TFTs and VDD I-R drops. Simulation results show the effectiveness, where power consumption is ameliorated over 10.53% more than the 6T1C circuit.
79.4 - Efficient Deep Learning-Based Backlight Extraction for Local Dimming Display (4:10 PM - 4:30 PM)
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Hanwook Chung, Nizar Tarabay, Alexandre Okon, Hyunjin Yoo
Faurecia IRYStec Inc. Montreal PQ Canada
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In this paper, deep learning (DL)-based backlight extraction methods for local dimming displays are introduced. The main objective is to better handle the trade-off between the displayed image quality and power consumption. To this end, the authors propose an enhanced power regularization. Furthermore, a smaller model with reduced computational complexity is designed, and an efficient post-processing for better generalization is proposed. Experimental results show the effectiveness of reducing power consumption while maintaining the image quality.