Adaptive dimension-discriminative low-rank tensor recovery for computational hyperspectral imaging

DOI10.1007/s11263-021-01481-9zbMath1483.68448OpenAlexW3196087333MaRDI QIDQ2054388

Hua Huang, Shipeng Zhang, Lizhi Wang

Publication date: 2 December 2021

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

Full work available at URL: https://doi.org/10.1007/s11263-021-01481-9

zbMATH Keywords

low-rank tensor recoveryadaptive weight estimation strategycomputational hyperspectral imaginghigh-dimensionality structurehyperspectral image reconstruction

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Machine vision and scene understanding (68T45)

Uses Software

• TwIST
• ISTA-Net

Cites Work

• Unnamed Item
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• Tensor Decompositions and Applications
• Compressed sensing with coherent and redundant dictionaries
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• Poisson noise reduction with non-local PCA
• Video Compressive Sensing Using Gaussian Mixture Models
• Sparsity-Based Poisson Denoising With Dictionary Learning
• Robust Image Restoration via Adaptive Low-Rank Approximation and Joint Kernel Regression
• Generalized Assorted Pixel Camera: Postcapture Control of Resolution, Dynamic Range, and Spectrum
• Methods of conjugate gradients for solving linear systems

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