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Back-Projection Based Fidelity Term for Ill-Posed Linear Inverse Problems
Tom Tirer
, Raja Giryes
Tel Aviv University
Research output
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Contribution to journal
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Article
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peer-review
33
Scopus citations
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Dive into the research topics of 'Back-Projection Based Fidelity Term for Ill-Posed Linear Inverse Problems'. Together they form a unique fingerprint.
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Keyphrases
Back-projection
100%
Fidelity Term
100%
Ill-posed Linear Inverse Problem
100%
Projection-based
100%
Linear Operator
75%
Cost Function
50%
Optimization Variables
50%
Super-resolution
25%
Least Squares
25%
Image Processing Applications
25%
Compressed Sensing
25%
Restoration Strategy
25%
Total Variation
25%
Deblurring
25%
Standard Least Squares
25%
Pseudo-inverse
25%
Deep Generative Models
25%
Regularization Parameter
25%
Backward Projection
25%
Row Spacing
25%
Tikhonov Regularization
25%
Iterative Denoising
25%
BM3D
25%
Induced Costs
25%
Non-convex Prior
25%
Computer Science
Inverse Problem
100%
Backprojection
100%
Linear Operator
100%
Least Squares Method
66%
super resolution
33%
de-noising
33%
Image Processing
33%
Compressed Sensing
33%
Deep Generative Model
33%
Regularization Parameter
33%
Total Variation
33%
Tikhonov Regularization
33%
Mathematics
Linear Operator
100%
Linear Inverse Problems
100%
Least Square
66%
Regularization
66%
Cost Function
66%
Processing Application
33%
Pseudoinverse
33%
Total Variation
33%
Row Space
33%
Image Processing
33%
Engineering
Linear Operator
100%
Least Square
66%
Cost Function
66%
Generative Model
33%
Image Processing
33%
Regularization Parameter
33%
Regularization
33%
Compressed Sensing
33%
Total Variation
33%
Row Space
33%
Backward Projection
33%
Prior Model
33%