2025
On the Design of Weakly-Convex Regularizers for Solving Linear Inverse Problems
ICASSP 2025accepted
Linear inverse problems are ubiquitous in signal processing and computational imaging. The prototypical problem is to recover a signal from noisy linear measurements. A typical optimization-based approach is to minimize the sum of a data-fidelity loss and a regularization function. The data-fidelity…