[1]刘? 琚,乔建苹.基于学习的超分辨率重建技术[J].智能系统学报,2009,4(3):199-207.
　LIU Ju,QIAO Jian-ping.Learningbased superresolution reconstruction[J].CAAI Transactions on Intelligent Systems,2009,4(3):199-207.
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基于学习的超分辨率重建技术

《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷: 4 期数: 2009年第3期 页码: 199-207 栏目: 学术论文—机器学习 出版日期: 2009-06-25
Title:
Learningbased superresolution reconstruction
文章编号:
1673-4785(2009)03-0199-09
作者:
刘? 琚1, 乔建苹2
1.山东大学 信息科学与工程学院，山东 济南 250100；
2.山东师范大学 传播学院，山东 济南 250014
Author(s):
LIU Ju1， QIAO Jian-ping2
1. School of Information Science and Engineering, Shandong University, Ji’nan 250100, China;
2. School of Communication, Shandong Normal University, Ji’nan 250014, China
关键词:
超分辨率重建; 支持向量机; 流形学习; 独立分量分析
Keywords:
superresolution reconstruction;  support vector machines;  manifold learning;  independent component analysis
分类号:
TP391.4
文献标志码:
A
摘要:
超分辨率重建是图像处理和计算机图形学领域的热点研究问题.主要介绍基于学习的超分辨率重建技术的基本理论和研究进展，包括基于支撑向量机、流形学习和独立分量分析等几种典型的基于学习的超分辨率重建技术以及作者的最新研究结果，最后对未来可能的发展做了展望.
Abstract:
Superresolution reconstruction is an important problem in image processing and computer graphics. This paper introduces key mathematical principles and the latest progress in learningbased superresolution. Several typical artificial intelligent techniques, such as support vector machines, manifold learning, independent component analysis and so on, were analyzed. Finally, areas meriting further investigation were outlined.
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备注/Memo

收稿日期：2008-07-16.
基金项目：国家自然科学基金资助项目(60572105,60872024)； 教育部博士点专项基金资助项目(20050422017)； 高等学校科技创新工程重大项目培育资金项目(708059)； 山东省自然科学基金资助项目(Y2007G04).
通信作者：乔建苹.E-mail: jpqiao@sdu.edu.cn.
作者简介：刘 琚，男，1965年生，教授、博士、博士生导师.现为山东大学信息科学与工程学院学术委员会副主任、通信工程系主任；海信数字多媒体技术国家重点实验室客座专家；IEEE 和IEICE会员；《电路与系统学报》和《数据采集与处理》编委.主要研究方向为无线通信中空时信号处理技术、盲信号处理理论与应用、多媒体通信与网络传输技术等.2002年到2003年为西班牙加泰罗尼亚理工大学和加泰罗尼亚通信技术研究中心访问教授，2005年受DAAD项目资助赴德国不来梅大学和杜伊斯堡埃森大学进行合作研究.发表学术论文150余篇.
乔建苹，女，1981年生，讲师，博士，IEICE会员.主要研究方向为多媒体信息处理与传输、超分辨率图像重建，发表学术论文20余篇.

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