Subspace Correction Methods for a Class of Nonsmooth and Nonadditive Convex Variational Problems with Mixed L1/L2 Data-Fidelity in Image Processing
Subspace Correction Methods for a Class of Nonsmooth and Nonadditive Convex Variational Problems with Mixed L1/L2 Data-Fidelity in Image Processing
M. Hintermüller,A. Langer
2013 · DOI: 10.1137/120894130
SIAM Journal of Imaging Sciences · 67 Citations
TLDR
Analytically and numerically it is shown that the new model has noticeable advantages over popular models in image processing tasks and that in practice the proposed subspace correction methods approach the global solution of the underlying minimization problem.
