Plug-and-Play Half-Quadratic Splitting for Ptychography
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arXiv
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| Auteurs principaux: | , , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866915047022788608 |
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| author | Denker, Alexander Hertrich, Johannes Kereta, Zeljko Cipiccia, Silvia Erin, Ecem Arridge, Simon |
| author_facet | Denker, Alexander Hertrich, Johannes Kereta, Zeljko Cipiccia, Silvia Erin, Ecem Arridge, Simon |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_02548 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Plug-and-Play Half-Quadratic Splitting for Ptychography Denker, Alexander Hertrich, Johannes Kereta, Zeljko Cipiccia, Silvia Erin, Ecem Arridge, Simon Image and Video Processing Machine Learning 94A08 I.4.5 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. |
| title | Plug-and-Play Half-Quadratic Splitting for Ptychography |
| topic | Image and Video Processing Machine Learning 94A08 I.4.5 |
| url | https://arxiv.org/abs/2412.02548 |