Analysis K-SVD: A Dictionary-Learning Algorithm for the Analysis Sparse Model

DOI10.1109/TSP.2012.2226445zbMath1393.94416OpenAlexW1994281301WikidataQ60547113 ScholiaQ60547113MaRDI QIDQ4578387

Tomer Peleg, Ron Rubinstein, Michael Elad

Publication date: 22 August 2018

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tsp.2012.2226445

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (20)

Cosparsity in Compressed Sensing ⋮ Unnamed Item ⋮ Sparsity and Nullity: Paradigms for Analysis Dictionary Learning ⋮ Discriminative Sparse Representations ⋮ \(\ell^1\)-analysis minimization and generalized (co-)sparsity: when does recovery succeed? ⋮ Manifold optimization-based analysis dictionary learning with an \(\ell_{1/2}\)-norm regularizer ⋮ Adapting total generalized variation for blind image restoration ⋮ Nonconvex \(L_{1/2}\)-regularized nonlocal self-similarity denoiser for compressive sensing based CT reconstruction ⋮ Greedy-like algorithms for the cosparse analysis model ⋮ A Novel Safety Assessment Approach Based on Evolutionary Clustering Learning ⋮ Poissonian image deconvolution via sparse and redundant representations and framelet regularization ⋮ A novel model and ADMM algorithm for MR image reconstruction ⋮ Analysis sparse representation for nonnegative signals based on determinant measure by DC programming ⋮ A tree-based dictionary learning framework ⋮ Image reconstruction using analysis model prior ⋮ An efficient algorithm for overcomplete sparsifying transform learning with signal denoising ⋮ A bimodal co-sparse analysis model for image processing ⋮ Image deblurring with coupled dictionary learning ⋮ Image Denoising with Generalized Gaussian Mixture Model Patch Priors ⋮ Multi-Layer Sparse Coding: The Holistic Way

This page was built for publication: Analysis K-SVD: A Dictionary-Learning Algorithm for the Analysis Sparse Model