Interpretable model learning in variational imaging: a bilevel optimization approach

Parameter space study of optimal scale-dependent weights in TV image denoising

(2022) J. C. De los Reyes et al.   APPLICABLE ANALYSIS

Bilevel Parameter Learning for Nonlocal Image Denoising Models

(2021) M. D’Elia et al.   JOURNAL OF MATHEMATICAL IMAGING AND VISION

Analysis and automatic parameter selection of a variational model for mixed Gaussian and Salt & Pepper noise removal

(2019) Luca Calatroni et al.   INVERSE PROBLEMS

Learning optimal spatially-dependent regularization parameters in total variation image denoising

(2017) Cao Van Chung et al.   INVERSE PROBLEMS

Analytical aspects of spatially adapted total variation regularisation

(2017) Michael Hintermüller et al.   JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS

Techniques for Gradient-Based Bilevel Optimization with Non-smooth Lower Level Problems

(2016) Peter Ochs et al.   JOURNAL OF MATHEMATICAL IMAGING AND VISION

Bilevel Parameter Learning for Higher-Order Total Variation Regularisation Models

(2016) J. C. De los Reyes et al.   JOURNAL OF MATHEMATICAL IMAGING AND VISION

Bilevel optimization for calibrating point spread functions in blind deconvolution

(2015) Michael Hintermüller et al.   Inverse Problems and Imaging

Image denoising: Learning the noise model via nonsmooth PDE-constrained optimization

(2013) Juan Carlos De los Reyes et al.   Inverse Problems and Imaging

A Bilevel Optimization Approach for Parameter Learning in Variational Models

(2013) Karl Kunisch et al.   SIAM Journal on Imaging Sciences