Denker, A; Hertrich, J; Kereta, Z; Cipiccia, S; Erin, E; Arridge, S; (2025) Plug-and-Play Half-Quadratic Splitting for Ptychography. In: Bubba, TA and Gaburro, R and Gazzola, S and Papafitsoros, K and Pereyra, M and Schönlieb, CB, (eds.) Scale Space and Variational Methods in Computer Vision. SSVM 2025. (pp. pp. 269-281). Springer Nature: Cham, Switzerland.

Text Splitting_PnP-3.pdf - Accepted Version Access restricted to UCL open access staff until 18 May 2026. Download (2MB)

Abstract

Ptychography is a coherent diffraction imaging method that uses phase retrieval techniques to reconstruct complex-valued images. It achieves this by sequentially illuminating overlapping regions of a sample with a coherent beam and recording the diffraction pattern. Although this addresses traditional imaging system challenges, it is computationally intensive and highly sensitive to noise, especially with reduced illumination overlap. Data-driven regularisation techniques have been applied in phase retrieval to improve reconstruction quality. In particular, plug-and-play (PnP) offers flexibility by integrating data-driven denoisers as implicit priors. In this work, we propose a half-quadratic splitting framework for using PnP and other data-driven priors for ptychography. We evaluate our method both on natural images and real test objects to validate its effectiveness for ptychographic image reconstruction.

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