[1]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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Learningbased superresolution reconstruction

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 4 Number of periods: 2009 3 Page number: 199-207 Column: 学术论文—机器学习 Public date: 2009-06-25
Title:
Learningbased superresolution reconstruction
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
Keywords:
superresolution reconstruction;  support vector machines;  manifold learning;  independent component analysis
CLC:
TP391.4
DOI:
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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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Last Update: 2009-08-31

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