Exploring Structured Sparsity by a Reweighted Laplace Prior for Hyperspectral Compressive Sensing

DOI10.1109/TIP.2016.2598652zbMath1408.94802OpenAlexW2508114009MaRDI QIDQ4616766

Yanning Zhang, Fei Li, Chunna Tian, Lei Zhang, Wei Wei

Publication date: 4 February 2019

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

Full work available at URL: https://doi.org/10.1109/tip.2016.2598652

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (4)

Learning with optimal interpolation norms ⋮ Cluster sparsity field: an internal hyperspectral imagery prior for reconstruction ⋮ Hyper-Laplacian regularized nonlocal low-rank matrix recovery for hyperspectral image compressive sensing reconstruction ⋮ Key-frame detection and super-resolution of hyperspectral video via sparse-based cumulative tensor factorization

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