On Producing Energy-Efficient And Contrast-Enhanced Images For Oled-Based Mobile Devices

PERVASIVE AND MOBILE COMPUTING(2021)

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摘要
Organic Light-Emitting Diode (OLED) display panels have become increasingly popular in recent years due to their numerous advantages over traditional LCDs. The power consumption in OLED based displays highly depends on the displayed contents. This paper utilizes the image-dependent power-consuming quality of OLED displays to produce energy-efficient and contrast-enhanced images that consume less power and have better visual quality compared to their original form when displayed on an OLED device. The goal of reducing the power consumption in images is achieved by lowering the RGB intensity levels in color images. This idea is inspired by the "Land Effect", which reveals that a full-color image can be generated by using only two color components instead of three. However, in this work, a modified Land-Effect has been proposed to yield better results as compared to the original Land-Effect. The proposed method also uses some image enhancement algorithms such as white balance and retinex filter to produce quality enhanced images that have visually better color contrasts as compared to the original images. The real power consumption of the modified images was measured on Samsung Galaxy A50, an OLED-based mobile device. The experimental results demonstrated that the proposed method reduced the power consumption by 13.16% on average. Moreover, to assess the visual quality of images and to understand the user acceptability of the modified images, a subjective evaluation was also performed. The subjective test results showed a higher preference rate for the modified images as compared to the original images. The proposed system in its current form is suitable for server-side implementation where an image would be modified once and the modified image could be used indefinitely by millions of users on social media platforms. (C) 2021 Published by Elsevier B.V.
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关键词
OLED-based displays, Energy-efficient images, Contrast enhancement, Power reduction, Mobile devices
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