Adaptive spatial-spectral dictionary learning for hyperspectral image restoration

DOI10.1007/s11263-016-0921-6zbMath1458.68270OpenAlexW2466594406WikidataQ113106563 ScholiaQ113106563MaRDI QIDQ2193537

Imari Sato, Yoichi Sato, Antony Lam, Ying Fu

Publication date: 20 August 2020

Published in: International Journal of Computer Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11263-016-0921-6

zbMATH Keywords

self-similarityadaptive spatial-spectral dictionary learninghigh correlation across spectrahyperspectral image restorationnon-local sparse representation

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (2)

Cluster sparsity field: an internal hyperspectral imagery prior for reconstruction ⋮ Adaptive dimension-discriminative low-rank tensor recovery for computational hyperspectral imaging

Uses Software

• PDCO
• TwIST
• FSIM

Cites Work

• Unnamed Item
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