The application of joint sparsity and total variation minimization algorithms to a real-life art restoration problem
Work
Year: 2008
Type: article
Institutions Johann Radon Institute for Computational and Applied Mathematics, Austrian Academy of Sciences, Brandenburg University of Applied Sciences
Cites: 50
Cited by: 22
Related to: 10
FWCI: 1.848
Citation percentile (by year/subfield): 87.69
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Sustainable Development Goal Sustainable cities and communities
Open Access status: green