Dictionary-based image denoising by fused-lasso atom selection

DOI10.1155/2014/368602zbMath1407.94016OpenAlexW2141311184WikidataQ59064683 ScholiaQ59064683MaRDI QIDQ1718204

Hayaru Shouno, Ao Li

Publication date: 8 February 2019

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/368602

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Image analysis in multivariate analysis (62H35) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items

An efficient algorithm for learning dictionary under coherence constraint

Uses Software

• KernSmooth

Cites Work

• Unnamed Item
• Image denoising with complex ridgelets
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• Pathwise coordinate optimization
• The Split Bregman Method for L1-Regularized Problems
• The curvelet transform for image denoising
• $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
• Sparsity and Smoothness Via the Fused Lasso
• Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems
• An Iterative Regularization Method for Total Variation-Based Image Restoration
• A Review of Image Denoising Algorithms, with a New One

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