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Lensless computational imaging through deep learning

arXiv 1702.08516 ↗First posted 22 Feb 2017cs.CV physics.opticscited by 44

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Abstract (arXiv)

Deep learning has been proven to yield reliably generalizable answers to numerous classification and decision tasks. Here, we demonstrate for the first time, to our knowledge, that deep neural networks (DNNs) can be trained to solve inverse problems in computational imaging. We experimentally demonstrate a lens-less imaging system where a DNN was trained to recover a phase object given a raw intensity image recorded some distance away.

Key facts. Cited by 44 papers in the map (data through 7 Oct 2026). First posted on arXiv 22 Feb 2017.

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Citing papers per year: 2021: 11; 2022: 13; 2023: 4; 2024: 7; 2025: 5; 2026: 4.

44 papers.

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  1. 2021Plug-and-Play Algorithms for Video Snapshot Compressive Imagingcited by 42
  2. 2023Physics-Informed Computer Vision: A Review and Perspectivescited by 28
  3. 2022Image sensing with multilayer, nonlinear optical neural networkscited by 25
  4. 2023On the use of deep learning for phase recoverycited by 20
  5. 2021AutoPhaseNN: Unsupervised Physics-aware Deep Learning of 3D Nanoscale Bragg Coherent Diffraction Imagingcited by 18
  6. 2021Untrained networks for compressive lensless photographycited by 13
  7. 2022Learning Spatially Varying Pixel Exposures for Motion Deblurringcited by 12
  8. 2022Practical Phase Retrieval Using Double Deep Image Priorscited by 10
  9. 2022Unrolled Primal-Dual Networks for Lensless Camerascited by 8
  10. 2022SiSPRNet: End-to-End Learning for Single-Shot Phase Retrievalcited by 7
  11. 2022Diffractive Interconnects: All-Optical Permutation Operation Using Diffractive Networkscited by 6
  12. 2022Compressive Ptychography using Deep Image and Generative Priorscited by 5
32 more
  1. 2021Uncertainty quantification for ptychography using normalizing flowscited by 4
  2. 2021Physical model simulator-trained neural network for computational 3D phase imaging of multiple-scattering samplescited by 3
  3. 2021SPI-GAN: Towards Single-Pixel Imaging through Generative Adversarial Networkcited by 3
  4. 2022Fast Autofocusing using Tiny Transformer Networks for Digital Holographic Microscopycited by 3
  5. 2021Deep-learning-driven Reliable Single-pixel Imaging with Uncertainty Approximationcited by 2
  6. 2023Local Conditional Neural Fields for Versatile and Generalizable Large-Scale Reconstructions in Computational Imagingcited by 2
  7. 2024All-optical complex field imaging using diffractive processorscited by 2
  8. 2024What is Wrong with End-to-End Learning for Phase Retrieval?cited by 2
  9. 2024Fast and Robust Phase Retrieval via Deep Expectation-Consistent Approximationcited by 2
  10. 2025DDRM-PR: Fourier Phase Retrieval using Denoising Diffusion Restoration Modelscited by 2
  11. 2021Provably Convergent Algorithms for Solving Inverse Problems Using Generative Modelscited by 1
  12. 2021Deep Camera Obscura: An Image Restoration Pipeline for Lensless Pinhole Photographycited by 1
  13. 2022Differentiable Microscopy Designs an All Optical Phase Retrieval Microscopecited by 1
  14. 2022Text detection and recognition based on a lensless imaging systemcited by 1
  15. 2023Efficient Physics-Based Learned Reconstruction Methods for Real-Time 3D Near-Field MIMO Radar Imagingcited by 1
  16. 2024Low-light phase retrieval with implicit generative priorscited by 1
  17. 2024Deep learning phase recovery: data-driven, physics-driven, or combining both?cited by 1
  18. 2024Joint Segmentation and Image Reconstruction with Error Prediction in Photoacoustic Imaging using Deep Learningcited by 1
  19. 2025Towards generalizable deep ptychography neural networkscited by 1
  20. 2021Advances in Electron Microscopy with Deep Learningcited by 0
  21. 2021Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functionscited by 0
  22. 2022A Deep Generative Approach to Oversampling in Ptychographycited by 0
  23. 2022Towards Practical Single-shot Phase Retrieval with Physics-Driven Deep Neural Networkcited by 0
  24. 2022Hand Gestures Recognition in Videos Taken with Lensless Cameracited by 0
  25. 2024Towards Physics-informed Cyclic Adversarial Multi-PSF Lensless Imagingcited by 0
  26. 2025PtyGenography: using generative models for regularization of the phase retrieval problemcited by 0
  27. 2025Self-supervised physics-informed generative networks for phase retrieval from a single X-ray hologramcited by 0
  28. 2025Breaking the Weak Recovery Limit in Random Phase Retrieval with Learned Regularizerscited by 0
  29. 2026A unified self-supervised framework for single-frame Fresnel CDI and overlapped ptychographycited by 0
  30. 2026A Lensless Polarization Cameracited by 0
  31. 2026Guided Lensless Polarization Imagingcited by 0
  32. 2026Dual-Integrated Low-Latency Single-Lens Infrared Computational Imaging for Object Detectioncited by 0