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A greedy algorithm for the analysis transform domain
Raja Giryes
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Corresponding author for this work
Duke University
Research output
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Article
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peer-review
9
Scopus citations
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Keyphrases
Greedy Algorithm
100%
Sparsity
100%
Transform Domain
100%
Cosparse
100%
Analysis Operator
100%
Analysis Transforms
100%
Relaxation Method
50%
Dictionary
50%
Proposed Program
50%
Big Data
50%
Small Sets
50%
Closing the Gap
50%
Existing Techniques
50%
Computational Efficiency
50%
Signaling Domain
50%
Near-optimal
50%
Linear Measurements
50%
Greedy Method
50%
Recovery Guarantee
50%
Image Processing Applications
50%
1-minimization
50%
Gaussian Noise
50%
High Computational Cost
50%
Stable Reconstruction
50%
Projection Procedure
50%
Denoising Effect
50%
High-dimensional Image
50%
Optimal Projection
50%
Adversarial Noise
50%
S-transform
50%
Computer Science
Sparsity
100%
Transform Domain
100%
Greedy Algorithm
100%
Big Data
50%
Computational Efficiency
50%
Computational Cost
50%
Analysis Framework
50%
de-noising
50%
Image Processing
50%
Dimensional Image
50%
Dimensional Problem
50%
s-transform
50%
Linear Measurement
50%
Gaussian White Noise
50%