Single image super-resolution via non-local normalized graph Laplacian regularization: a self-similarity tribute

DOI10.1016/J.CNSNS.2020.105508zbMath1458.94026OpenAlexW3082803500MaRDI QIDQ2212034

Mehran Ebrahimi, Sean Bohun

Publication date: 17 November 2020

Published in: Communications in Nonlinear Science and Numerical Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cnsns.2020.105508

zbMATH Keywords

regularizationself-similarityimage restorationsuper-resolutiongraph Laplacianimage zoomingfractal-based restoration

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Graphs and linear algebra (matrices, eigenvalues, etc.) (05C50) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Cites Work

• Symmetrizing Smoothing Filters
• Measure-Valued Images, Associated Fractal Transforms, and the Affine Self-Similarity of Images
• A General Framework for Regularized, Similarity-Based Image Restoration
• A Review of Image Denoising Algorithms, with a New One

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