A Blind Source Separation Technique for Document Restoration

DOI10.1137/18m1188793zbMath1524.65092OpenAlexW2951473872MaRDI QIDQ6176005

Antonio Boccuto, Unnamed Author, Ivan Gerace

Publication date: 25 July 2023

Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1137/18m1188793

zbMATH Keywords

blind source separationnonnegative minimizationcorrelated component analysisdigital document restoration

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (2)

Hahn-Banach and sandwich theorems for equivariant vector lattice-valued operators and applications ⋮ Hahn-Banach-type theorems and subdifferentials for invariant and equivariant order continuous vector lattice-valued operators with applications to optimization

Cites Work

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• Multichannel Blind Separation and Deconvolution of Images for Document Analysis
• Sparse and Unique Nonnegative Matrix Factorization Through Data Preprocessing
• Applications of sampling Kantorovich operators to thermographic images for seismic engineering
• An iterative method for locating turning points
• Sequential Minimax Search for a Maximum

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