ArticleIEEE transactions on pattern analysis and machine intelligence2022
FlatNet: Towards Photorealistic Scene Reconstruction From Lensless Measurements.
Article in IEEE transactions on pattern analysis and machine intelligence, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- DifuzCam replacing camera lens with a mask and a diffusion model for generative AI based flat camera design.Scientific reports · 2025Article
- DeepInMiniscope: Deep learning-powered physics-informed integrated miniscope.Science advances · 2025Article
- Supervision by Denoising.IEEE transactions on pattern analysis and machine intelligence · 2025Article
- Lensless camera: Unraveling the breakthroughs and prospects.Fundamental research · 2025Review
- Lensless imaging with a programmable Fresnel zone aperture.Science advances · 2025Article
- Adaptive lensless microscopic imaging with unknown phase modulation.Biomedical optics express · 2025Article
- System- and sample-agnostic isotropic three-dimensional microscopy by weakly physics-informed, domain-shift-resistant axial deblurring.Nature communications · 2025Article
- Super resolution reconstruction of fluorescence microscopy images by a convolutional network with physical priors.Biomedical optics express · 2024Article
- Pre-sensor computing with compact multilayer optical neural network.Science advances · 2024Article
- Real-time, deep-learning aided lensless microscope.Biomedical optics express · 2023Article
- Miniature color camera via flat hybrid meta-optics.Science advances · 2023Article
- Unrolled-DOT: an interpretable deep network for diffuse optical tomography.Journal of biomedical optics · 2023Article
- Whole-brain imaging of freely-moving zebrafish.Frontiers in neuroscience · 2023Review
- Learned lensless 3D camera.Optics express · 2022Article
- LOEN: Lensless opto-electronic neural network empowered machine vision.Light, science & applications · 2022Article
- Recent Advances in Lensless Imaging.Optica · 2022Article
- GEOMScope: Large Field-of-view 3D Lensless Microscopy with Low Computational Complexity.Laser & photonics reviews · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Lensless imaging has emerged as a potential solution towards realizing ultra-miniature cameras by eschewing the bulky lens in a traditional camera. Without a focusing lens, the lensless cameras rely on computational algorithms to recover the scenes from multiplexed measurements. However, the current iterative-optimization-based reconstruction algorithms produce noisier and perceptually poorer images. In this work, we propose a non-iterative deep learning-based reconstruction approach that results in orders of magnitude improvement in image quality for lensless reconstructions. Our approach, called FlatNet, lays down a framework for reconstructing high-quality photorealistic images from mask-based lensless cameras, where the camera's forward model formulation is known. FlatNet consists of two stages: (1) an inversion stage that maps the measurement into a space of intermediate reconstruction by learning parameters within the forward model formulation, and (2) a perceptual enhancement stage that improves the perceptual quality of this intermediate reconstruction. These stages are trained together in an end-to-end manner. We show high-quality reconstructions by performing extensive experiments on real and challenging scenes using two different types of lensless prototypes: one which uses a separable forward model and another, which uses a more general non-separable cropped-convolution model. Our end-to-end approach is fast, produces photorealistic reconstructions, and is easy to adopt for other mask-based lensless cameras.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.