Adaptive variational models for image decomposition

DOI10.1007/s11432-012-4716-2zbMath1343.94018OpenAlexW1999002118MaRDI QIDQ893664

Yan Hao, Yu Han, Jianlou Xu, Xiang Chu Feng

Publication date: 20 November 2015

Published in: Science China. Information Sciences (Search for Journal in Brave)

Full work available at URL: http://engine.scichina.com/doi/10.1007/s11432-012-4716-2

zbMATH Keywords

total variationimage decompositiontexturecartoon

Mathematics Subject Classification ID

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

Cites Work

• Unnamed Item
• Unnamed Item
• Nonlinear total variation based noise removal algorithms
• Image denoising and decomposition with total variation minimization and oscillatory functions
• An algorithm for total variation minimization and applications
• Image decomposition into a bounded variation component and an oscillating component
• Dual norms and image decomposition models
• Image decomposition via the combination of sparse representations and a variational approach
• Image Decomposition and Restoration Using Total Variation Minimization and theH¹
• Fast Cartoon + Texture Image Filters