北京印刷学院高端印刷装备信号与信息处理北京市重点实验室;
在交互式多媒体中,屏幕内容图像客观质量评价有广泛的应用价值。本文首先阐述了屏幕内容图像和自然图像的区别;然后分析了基于手工提取特征和基于深度学习自动提取特征两种屏幕内容图像评价算法;接着总结了常用的评价指标和屏幕内容图像数据集,并对屏幕内容图像质量评价算法的性能进行比较;最后对屏幕内容图像质量评价算法的研究进行展望。本文有助于研究人员深入理解该领域的研究现状,为推动其技术的发展和应用提供指导和支持。
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基本信息:
DOI:10.19370/j.cnki.cn10-1886/ts.2025.01.002
中图分类号:TP391.41
引用信息:
[1]周子镱,董武,张艳等.屏幕内容图像质量客观评价方法综述[J].印刷与数字媒体技术研究,2025,No.234(01):14-27.DOI:10.19370/j.cnki.cn10-1886/ts.2025.01.002.
基金信息:
北京市数字教育研究重点课题(No.BDEC2022619027); 北京市高等教育学会2023年立项面上课题(No.MS2023168); 北京印刷学院校级科研项目(No.Ec202303、Ea202301、E6202405);北京印刷学院学科建设和研究生教育专项(No.21090224002、21090323009、21090124013);北京印刷学院出版学新兴交叉学科平台建设项目(No.04190123001/003); 北京邮电大学网络与交换技术全国重点实验室开放课题资助项目(No.SKLNST-2023-1-12)