Technologies based on energy savings for OLED devices

Mohammed Albaba, Meryem Sena Akkus
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Abstract

Recently, scientists are paying more attention to the Organic Light Emitting Diode (OLED) technology as it is being used in devices and displays to play videos and show photos with high resolution. This technology is used in products such as mobile phones, televisions, laptops, etc. To make the energy consumed less, new methods were shown up to prevent high energy consumption while presenting videos and photos on OLED devices and displays without losing their details and quality, one of the methods is a deep learning-based technique which is related to artificial intelligence. In this review paper, the last methods were discussed as well as their results. Saturation, brightness, contrast, and luminance are factors that impacting energy consumption. In terms of OLED mobile phones, there were a few studies that concentrated on turning off the unnecessary pixels which will be black as default, and as a result, the lifetime of batteries will be extended. Also, for OLED mobile phones, a web browser called Chameleon was presented as it has some modes to save the energy consumed while surfing the internet by remapping the displayed colors of the website.
基于OLED设备节能的技术
最近,有机发光二极管(OLED)技术被用于高分辨率播放视频和显示照片的设备和显示器,科学家们越来越关注OLED技术。这项技术应用于手机、电视、笔记本电脑等产品。为了减少能量消耗,在OLED设备和显示器上展示视频和照片时,在不损失细节和质量的情况下避免高能量消耗的新方法被提出,其中一种方法是与人工智能相关的深度学习技术。本文对以上几种方法及其结果进行了综述。饱和度、亮度、对比度和亮度是影响能耗的因素。在OLED手机方面,有一些研究集中在关闭不必要的像素,这些像素将默认为黑色,从而延长电池的使用寿命。另外,还展示了OLED手机的网页浏览器“变色龙”(Chameleon),该浏览器具有通过重新映射网站显示的颜色来节省上网时消耗的能量的模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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