Color image and video restoration using tensor CP decomposition

DOI10.1007/s10543-022-00910-6zbMath1505.65172OpenAlexW4210620599WikidataQ113107270 ScholiaQ113107270MaRDI QIDQ2100536

Asmaa Khouia, Hassane Sadok, Abdeslem Hafid Bentbib

Publication date: 22 November 2022

Published in: BIT (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10543-022-00910-6

zbMATH Keywords

CP decompositionLSQR algorithmcolor image restorationvideo restoration

Mathematics Subject Classification ID

Ill-posedness and regularization problems in numerical linear algebra (65F22) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Iterative numerical methods for linear systems (65F10) Multilinear algebra, tensor calculus (15A69)

Related Items

Spectral computation with third-order tensors using the t-product, A generalized non-convex method for robust tensor completion, Proximal gradient algorithm for nonconvex low tubal rank tensor recovery

Uses Software

• LSQR
• CRAIG

Cites Work

• Tensor Decompositions and Applications
• Tensor-Train Decomposition
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• The ubiquitous Kronecker product
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• Estimation of the \(L\)-curve via Lanczos bidiagonalization
• The LSQR method for solving tensor least-squares problems
• Sylvester Tikhonov-regularization methods in image restoration
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• Embedded techniques for choosing the parameter in Tikhonov regularization
• Deblurring Images
• Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter
• LSQR: An Algorithm for Sparse Linear Equations and Sparse Least Squares
• Kronecker Product Approximations forImage Restoration with Reflexive Boundary Conditions
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• A matrix LSQR iterative method to solve matrix equationAXB=C
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