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NSF/FDA SIR: System Solutions for Improved Image Quality of Context-aware Mobile Displays

NSF/FDA SIR: System Solutions for Improved Image Quality of Context-aware Mobile Displays
NSF/FDA SIR:提高情境感知移动显示器图像质量的系统解决方案
批准号:
1136944
负责人:
Lin Zhong
金额:
$10.5万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-09-01 至 2014-08-31

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中文摘要
翻译
1136944与个人电脑不同,智能手机和平板电脑等移动设备可能会在各种观看条件下使用。许多背景因素,包括视角、环境光和握手,都会在感知的图像质量中引入显著的失真,对使用移动设备查看医学图像构成挑战。2011年2月4日,美国FDA批准了第一个诊断放射学应用程序,允许医生在无法访问工作站的情况下在iPhone和iPad移动设备上查看CT、MR和PET图像。虽然这项裁决允许医生在推荐的照明条件下查看图像并做出诊断,但它要求获得批准的应用程序包括标签和安全功能,以减少不利观看条件的风险。来自背景因素的挑战仍然没有得到解决:医生负责在适当的观看环境中操作移动显示器。本研究项目的目标是通过计算和感知的方法来解决上下文因素对移动图像质量的挑战。关键是可以利用移动设备的高效感知和计算能力来提取关于观看上下文的信息,以补偿移动显示中的图像失真。这项拟议的研究将在很大程度上借鉴现代对人类视觉系统的理解。它不仅将提供适用于所有类型的移动显示器的解决方案,还将为现有和新兴的移动显示技术提供特定于技术的解决方案,从液晶显示(LCD)到有机发光二极管(OLED)再到自动立体三维(3D)技术。
英文摘要
1136944ZhongUnlike PCs, mobile devices such as smart-phones and tablets are likely to be used under various viewing conditions. Many contextual factors including viewing angle, ambient light, and a shaking hand will introduce significant distortion in the perceived image quality, challenging the use of mobile devices to view medical images. On February 4, 2011, the US FDA cleared the first diagnostic radiology application that allows the physicians to view CT, MR, and PET images on the iPhone and iPad mobile devices when there is no access to a workstation. While this ruling enables physicians to view images and make diagnoses under recommended lighting conditions, it mandates that the cleared application include labeling and safety features to mitigate the risk of adverse viewing conditions. The challenge from the contextual factors remains unaddressed: the physicians are responsible to operate a mobile display in a proper viewing environment. The goal of this research project is to address the challenge to mobile image quality from contextual factors with a computational and sensing approach. The key point is that efficient sensing and computational power of mobile devices can be leveraged to extract information about the viewing context to compensate for image distortions in mobile display. The proposed research will heavily draw upon the modern understanding of the human visual system. It will not only offer solutions that are applicable to all kinds of mobile displays but also will provide technology-specific solutions for existing and emerging mobile display technologies, from liquid-crystal display (LCD) to organic light-emitting diode (OLED) to auto-stereoscopic three-dimensional (3D) technologies.
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