Phase Retrieval Based on DC and DnCNN
Optimization and Control
2025-11-24 v1
Abstract
This paper investigates noise-robust phase retrieval by enhancing the prDeep architecture with difference of convex functions (DC) and DnCNN-based denoising regularization. This research introduces two novel algorithms, prDeep-DC and prDeep-L2, which demonstrably achieve excellent quantitative and visual performance, as confirmed by extensive numerical experiments.
Cite
@article{arxiv.2511.16913,
title = {Phase Retrieval Based on DC and DnCNN},
author = {Xueming Li and Bing Guo},
journal= {arXiv preprint arXiv:2511.16913},
year = {2025}
}