A variational approach for restoring images corrupted by noisy blur kernels and additive noise

DOI10.1002/nla.2100zbMath1424.94023OpenAlexW2772477149MaRDI QIDQ4599018

Wei Wang, Xi-Le Zhao, Michael Kwok-Po Ng

Publication date: 15 December 2017

Published in: Numerical Linear Algebra with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/nla.2100

zbMATH Keywords

total variationconvex optimizationimage restorationproximal alternating minimizationrandom blurring function

Mathematics Subject Classification ID

Numerical optimization and variational techniques (65K10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

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Uses Software

• Matlab

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