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Data-Driven Learning of a Union of Sparsifying Transforms Model for Blind Compressed Sensing
Saiprasad Ravishankar
,
Yoram Bresler
Electrical and Computer Engineering
Coordinated Science Lab
Bioengineering
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Dive into the research topics of 'Data-Driven Learning of a Union of Sparsifying Transforms Model for Blind Compressed Sensing'. Together they form a unique fingerprint.
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Keyphrases
Sparsifying Transforms
100%
Transformed Model
100%
Blind Compressed Sensing
100%
Data-driven Learning
100%
Magnetic Resonance Imaging
50%
Image Reconstruction
50%
Undersampling
50%
Transform Domain
50%
Compressed Sensing
25%
Image Quality
25%
Numerical Experiments
25%
High Efficiency
25%
Image Reconstruction Techniques
25%
Dictionary
25%
Nonconvex
25%
Sparsity
25%
Natural Images
25%
Image Patch
25%
Adaptive Transform
25%
Sparse Signal Representation
25%
Local Minimizer
25%
Block Coordinate Descent
25%
Unknown Model
25%
Engineering
Compressed Sensing
100%
Image Reconstruction
60%
Signal Model
20%
Sparsity
20%
Numerical Experiment
20%
Sparse Signal
20%
Powerful Tool
20%
Image Patch
20%
Natural Image
20%
Minimizer
20%
Computer Science
Compressed Sensing
100%
Image Reconstruction
60%
Transform Domain
40%
Sparsity
20%