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Recovering thin structures via nonlocal-means regularization with application to depth from defocus
Paolo Favaro
School of Engineering & Physical Sciences
Research output
:
Chapter in Book/Report/Conference proceeding
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Conference contribution
54
Citations (Scopus)
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Dive into the research topics of 'Recovering thin structures via nonlocal-means regularization with application to depth from defocus'. Together they form a unique fingerprint.
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Engineering
Regularization
100%
Surfaces
66%
Experimental Result
33%
Algorithm
33%
Real Data
33%
Numerical Method
33%
Linearized System
33%
Main Benefit
33%
Euler-Lagrange Equation
33%
Successive Overrelaxation
33%
Demonstrates
33%
Performance
33%
Applications
33%
Obtains
33%
Maps
33%
Constraints
33%
Filters
33%
Neighbourhood
33%
Computer Science
Regularization
100%
Experimental Result
33%
Neighborhood Structure
33%
Successive Overrelaxation
33%
Conjugate Gradients
33%
Euler Lagrange Equation
33%
Application
33%
Numerical Methods
33%
Filtering
33%
Physics
Mathematical Method
33%
Euler-Lagrange Equation
33%
Utilization
33%
Performance
33%
Algorithms
33%
Shapes
33%
Colour
33%
Estimates
33%