Shape-constrained regularization by statistical multiresolution for inverse problems: asymptotic analysis

DOI10.1088/0266-5611/28/6/065006zbMath1250.47009arXiv1003.3323OpenAlexW1973627955MaRDI QIDQ2898416

Axel Munk, Philipp Marnitz, Klaus Frick

Publication date: 11 July 2012

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

Full work available at URL: https://arxiv.org/abs/1003.3323

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Linear operators and ill-posed problems, regularization (47A52)

Related Items

Learning optimal spatially-dependent regularization parameters in total variation image denoising ⋮ Efficient regularization with wavelet sparsity constraints in photoacoustic tomography ⋮ Statistical multiresolution Dantzig estimation in imaging: fundamental concepts and algorithmic framework ⋮ Gaussian approximations and multiplier bootstrap for maxima of sums of high-dimensional random vectors ⋮ Statistical multiresolution estimation for variational imaging: with an application in Poisson-biophotonics

Uses Software

• ftnonpar