Non-convex TV denoising corrupted by impulse noise

DOI10.3934/ipi.2017032zbMath1420.94013OpenAlexW2640276729MaRDI QIDQ2360783

Yoon Mo Jung, Taeuk Jeong, Sangwoon Yun

Publication date: 12 July 2017

Published in: Inverse Problems and Imaging (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/ipi.2017032

zbMATH Keywords

image restorationimpulse noiseiterative reweighted algorithmnon-convex type total variation model

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (4)

Sparse probabilistic K-means ⋮ Impulse noise removal by using a nonconvex TGV regularizer and nonconvex fidelity ⋮ Elastic trend filtering ⋮ Image retinex based on the nonconvex TV-type regularization

Uses Software

• RecPF
• FTVd

Cites Work

• Unnamed Item
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• Nonconvex TV$^q$-Models in Image Restoration: Analysis and a Trust-Region Regularization--Based Superlinearly Convergent Solver
• A New Alternating Minimization Algorithm for Total Variation Image Reconstruction
• Noise removal using fourth-order partial differential equation with applications to medical magnetic resonance images in space and time
• An Efficient TVL1 Algorithm for Deblurring Multichannel Images Corrupted by Impulsive Noise
• Variational Analysis
• High-Order Total Variation-Based Image Restoration
• Space variant median filters for the restoration of impulse noise corrupted images

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