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Sparsity regularized optical interferometric imaging
Jasleen Birdi
,
Audrey Repetti
,
Yves Wiaux
School of Engineering & Physical Sciences
Institute of Sensors, Signals & Systems
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
70
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Dive into the research topics of 'Sparsity regularized optical interferometric imaging'. Together they form a unique fingerprint.
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Computer Science
Least Squares Methods
100%
Sparsity
100%
Regularization Term
100%
Joint Sparsity
100%
Linear Data Model
100%
Image Intensity
100%
Phase Information
100%
Minimization Problem
100%
Hyperspectral Image
100%
Backward Algorithm
100%
Fourier Coefficient
100%
Mathematics
Nonlinear
100%
Smooth Function
100%
Regularization
100%
Backward Algorithm
100%
Minimization Problem
100%
Fourier Coefficient
100%
Robust Method
100%
Least Squares Method
100%
Gauss-Seidel Method
100%
INIS
images
100%
nonlinear problems
100%
recovery
50%
data
50%
information
50%
algorithms
50%
simulation
50%
performance
50%
convergence
50%
norm
50%
interferometry
50%
monochromatic radiation
50%
minimization
50%
least square fit
50%
Engineering
Sparsity
100%
Simulation Result
50%
Fourier Coefficient
50%
Image Intensity
50%
Minimization Problem
50%
Joints (Structural Components)
50%
Hyperspectral Image
50%
Phase Information
50%
Gauss-Seidel Method
50%
Missing Phase
50%
Optical Interferometry
50%
Regularization
50%
Data Model
50%
Least Squares Method
50%
Physics
Least Squares Method
100%
Optical Interferometry
100%
Earth and Planetary Sciences
Interferometry
100%
Hyperspectral Image
100%