Plug‐and‐play algorithms for convex non‐convex regularization: Convergence analysis and applications
Y Xu, M Qu, L Liu, G Liu, J Zou - Mathematical Methods in the …, 2024 - Wiley Online Library
When the sparse regularizer is convex and its proximal operator has a closed‐form, first‐
order iterative algorithms based on proximal operators can effectively solve the sparse …
order iterative algorithms based on proximal operators can effectively solve the sparse …
Non-convex regularization based on shrinkage penalty function
M Ghulyani, M Arigovindan - arXiv preprint arXiv:2309.04593, 2023 - arxiv.org
Total Variation regularization (TV) is a seminal approach for image recovery. TV involves the
norm of the image's gradient, aggregated over all pixel locations. Therefore, TV leads to …
norm of the image's gradient, aggregated over all pixel locations. Therefore, TV leads to …