This paper introduces novel extrapolated DYS methods for nonconvex optimization problems, integrating acceleration techniques and deep learning-based denoisers. The convergence properties are rigorously analyzed based on the Kurdyka-Lojasiewicz property, demonstrating superior performance in image restoration tasks.
Key points include:
The content delves into advanced mathematical concepts applied to real-world image processing challenges, offering a comprehensive approach to nonconvex optimization with practical implications.
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by Zhongming Wu... um arxiv.org 03-05-2024
https://arxiv.org/pdf/2403.01144.pdfTiefere Fragen