High-order TVL1-based images restoration and spatially adapted regularization parameter selection
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Publication:2364234
DOI10.1016/j.camwa.2014.04.008zbMath1366.94058OpenAlexW2082062620MaRDI QIDQ2364234
Publication date: 18 July 2017
Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.camwa.2014.04.008
total variationalternating direction methodimage restorationsalt-and-pepper noisespatially adapted regularization parameter
Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)
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Cites Work
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- An Efficient TVL1 Algorithm for Deblurring Multichannel Images Corrupted by Impulsive Noise
- Expected absolute value estimators for a spatially adapted regularization parameter choice rule in L 1 -TV-based image restoration
- High-Order Total Variation-Based Image Restoration
- The Total Variation Regularized $L^1$ Model for Multiscale Decomposition
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