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S. Sabilla

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Open access 2026

Trust Region Plug-and-Play With Provable Convergence for Image Restoration

The Plug-and-Play (PnP) method is an optimization-based splitting algorithm that solves image inversion problems by combining data fidelity with a deep learning-based denoiser as an implicit regularization term. While many theoretical studies have been conducted to develop convergent PnP methods, most frameworks remain...

Christian Budhi Sabdana, D. Sunaryono, B. Amaliah et al. · 0 citations

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