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Nonlinear image restoration using FFT-based conjugate gradient methods
Michael K. Ng
*
*
Corresponding author for this work
Department of Mathematics
Research output
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Chapter in book/report/conference proceeding
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Conference proceeding
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peer-review
2
Citations (Scopus)
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Dive into the research topics of 'Nonlinear image restoration using FFT-based conjugate gradient methods'. Together they form a unique fingerprint.
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Keyphrases
Conjugate Gradient Method
100%
Image Reconstruction
100%
Fast Fourier Transform
100%
Nonlinear Image
100%
Linear Systems
50%
Toeplitz
50%
Preconditioned Conjugate Gradient Method
50%
Imaging Systems
25%
Numerical Examples
25%
Restored Image
25%
Image Restoration Problem
25%
Fast Convergence
25%
Normal Equations
25%
Spatial Domain
25%
Additive Noise
25%
Least Squares Problems
25%
Imaging Problems
25%
Fourier Domain
25%
Atmospheric Imaging
25%
Space-Invariant
25%
Nonlinear Spaces
25%
Computer Science
Image Restoration
100%
Fast Fourier Transform
100%
Conjugate Gradient Method
100%
Linear System
50%
Fourier Transform
25%
Least Squares Method
25%
Restored Image
25%
Numerical Example
25%
Fast Convergence
25%
Spatial Domain
25%
Preconditioner
25%
Imaging System
25%
Image Restoration Problem
25%
Normal Equation
25%
Engineering
Image Restoration
100%
Conjugate Gradient Method
100%
Fast Fourier Transform
100%
Fourier Transform
25%
Least Square Problem
25%
Numerical Example
25%
Restored Image
25%
Image Restoration Problem
25%
Spatial Domain
25%
Imaging System
25%
Additive Noise
25%
Normal Equation
25%
Mathematics
Conjugate Gradient Method
100%
Fast Fourier Transform
100%
Linear System
50%
Matrix (Mathematics)
25%
Numerical Example
25%
Spatial Domain
25%
Normal Equation
25%
Wide Variety
25%
Additive Noise
25%
Fourier Transform
25%
Invariant Space
25%
Least Squares Method
25%
Earth and Planetary Sciences
Linear System
100%
Atmospherics
50%