A Platform for Subjective Image Quality Evaluation on Mobile Devices

被引:0
作者
Lin, James [1 ]
Bajic, Ivan V. [1 ]
机构
[1] Simon Fraser Univ, Sch Engn Sci, Burnaby, BC, Canada
来源
2016 IEEE CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (CCECE) | 2016年
关键词
image quality; subjective evaluation; mobile devices;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
From content creators, to content distributors and consumer electronics industry, image quality is an important consideration both from an engineering and artistic point of view. In recent years, with the shift towards mobile multimedia, it is becoming increasingly important to be able to assess the quality of images displayed on mobile devices. In this paper we present an iOS app that makes it easy to perform subjective image quality evaluation on mobile devices. The app implements two-alternative forced choice (2AFC) test methodology, and further reduces the cognitive load of subjects performing the test by providing an easy-to-use, natural interface using the mobile device's touch screen. A simple subjective experiment comparing two tone mapping operators for High Dynamic Range (HDR) images is performed to illustrate the effectiveness of the app.
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页数:4
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