A note on the convergence of RED algorithms under minimal hypotheses and open questions
Abstract
In this note, we give a convergence result for a modified ''regularization-by-denoising''(RED) algorithm under a restricted isometry condition on measurements and a restricted Lipschitz condition on the considered deep projective prior. This study leads to open questions about the convergence of RED algorithms.
Fields of Study & Subjects
Sparse and Compressive Sensing Techniques
Image and Signal Denoising Methods
Numerical methods in inverse problems
Publication details
- Journal / source
- arXiv (Cornell University)
- Publication date
- 2 March 2026
- Language
- EN
- Document type
- Preprint