Nonnegative Tensor Patch Dictionary Approaches for Image Compression and Deblurring Applications
DOI10.1137/19M1297026zbMath1456.65028arXiv1910.00993OpenAlexW3041519357MaRDI QIDQ5143286
Misha E. Kilmer, Elizabeth Newman
Publication date: 11 January 2021
Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1910.00993
image compressionlow-rank approximationimage deblurringsparsity constraintpatch dictionarytensor patch approach
Ill-posedness and regularization problems in numerical linear algebra (65F22) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Multilinear algebra, tensor calculus (15A69) Numerical methods for low-rank matrix approximation; matrix compression (65F55)
Related Items (2)
Uses Software
Cites Work
- Unnamed Item
- Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
- Tensor Decompositions and Applications
- Tensor-Train Decomposition
- Tomographic image reconstruction using training images
- Factorization strategies for third-order tensors
- A tensor-based dictionary learning approach to tomographic image reconstruction
- Tensor-tensor products with invertible linear transforms
- Fundamental tensor operations for large-scale data analysis using tensor network formats
- Principal component analysis of three-mode data by means of alternating least squares algorithms
- An approach to n-mode components analysis
- Facial Recognition Using Tensor-Tensor Decompositions
- Deblurring Images
- Algorithms for Sparse Nonnegative Tucker Decompositions
- A Multilinear Singular Value Decomposition
- Tensor-Based Formulation and Nuclear Norm Regularization for Multienergy Computed Tomography
- Efficient Tensor Completion for Color Image and Video Recovery: Low-Rank Tensor Train
- An Order-$p$ Tensor Factorization with Applications in Imaging
- Nonlocal Patch Tensor Sparse Representation for Hyperspectral Image Super-Resolution
- Third-Order Tensors as Operators on Matrices: A Theoretical and Computational Framework with Applications in Imaging
This page was built for publication: Nonnegative Tensor Patch Dictionary Approaches for Image Compression and Deblurring Applications