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Multi-parameter regularization methods for high-resolution image reconstruction with displacement errors
Yao Lu,
Lixin Shen
, Yuesheng Xu
Department of Mathematics
The BioInspired Institute
Research output
:
Contribution to journal
›
Article
›
peer-review
28
Scopus citations
Overview
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Dive into the research topics of 'Multi-parameter regularization methods for high-resolution image reconstruction with displacement errors'. Together they form a unique fingerprint.
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Keyphrases
Biorthogonal Wavelets
50%
Displacement Error
100%
Ill-posed Problem
100%
Multi-parameter Regularization
100%
Multi-scale Framework
50%
Multi-scale Manner
50%
Regularization Method
100%
Regularization Operator
50%
Regularization Parameter
50%
Super-resolution Reconstruction
100%
Tight Frame
50%
Wavelet Frame
50%
Engineering
Image Reconstruction
100%
Posed Problem
100%
Regularization
50%
Regularization Method
100%
Regularization Parameter
50%
Resolution Image
100%
Computer Science
Image Reconstruction
100%
Numerical Example
50%
Regularization Method
100%
Regularization Operator
50%
Regularization Parameter
50%
Resolution Image
100%
Mathematics
Orthogonal Wavelet
25%
Posed Problem
50%
Tight Frame
25%