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Variational blind deconvolution of multi-channel images
Ran Kaftory
,
Nir Sochen
*
, Yehushua Y. Zeevi
*
Corresponding author for this work
School of Mathematical Sciences
Technion-Israel Institute of Technology
Research output
:
Contribution to journal
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Article
›
peer-review
9
Scopus citations
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Keyphrases
Blind Deconvolution
100%
Variational
100%
Dual-mode Imaging
100%
Greatest Difficulty
50%
Inter-channel
50%
Regularization Term
50%
Deblurring
50%
Denoising
50%
Regularizer
50%
Total Variation Regularization
50%
Ill-posedness
50%
Anisotropic Regularization
50%
Polyakov Action
50%
Anisotropic Smoothing
50%
Channel Information
50%
Total Variation Method
50%
Engineering
Blind Deconvolution
100%
Anisotropic
100%
Total Variation
100%
Multichannel Image
100%
Real Data
50%
Regularization
50%
Fundamental Problem
50%
Posedness
50%
Information Channel
50%
Computer Science
Total Variation
100%
Blind Deconvolution
100%
Multichannel Image
100%
Fundamental Problem
50%
de-noising
50%
Regularization Term
50%
Information Channel
50%
Mathematics
Total Variation
100%
Real Data
50%
Synthetic Data
50%
Regularization
50%
Posedness
50%
Variation Method
50%