ArticleScience advances2017
Adaptive foveated single-pixel imaging with dynamic supersampling.
Article in Science advances, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed.
- Hadamard Matrix Slicing Single-Pixel Imaging: Establishing a Linear-Array-Inspired Paradigm for N-fold Acceleration Single-Pixel Imaging.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Foveated light-field compound imager.Science advances · 2026Article
- Foveated Light-Field Compound Imager.bioRxiv : the preprint server for biology · 2026Article
- Multichannel multicentroid motion-compensated single pixel imaging of a 2D arbitrarily moving rigid-body target.Communications engineering · 2026Article
- Ultrahigh-throughput single-pixel complex-field microscopy with frequency-comb acousto-optic coherent encoding (FACE).Light, science & applications · 2025Article
- Physical twinning for joint encoding-decoding optimization in computational optics: a review.Light, science & applications · 2025Review
- High-Resolution Single-Pixel Imaging of Spatially Sparse Objects: Real-Time Imaging in the Near-Infrared and Visible Wavelength Ranges Enhanced with Iterative Processing or Deep Learning.Sensors (Basel, Switzerland) · 2024Article
- Eye-Inspired Single-Pixel Imaging with Lateral Inhibition and Variable Resolution for Special Unmanned Vehicle Applications in Tunnel Inspection.Biomimetics (Basel, Switzerland) · 2024Article
- Fast autofocusing based on single-pixel moment detection.Communications engineering · 2024Article
- Microwave Speech Recognizer Empowered by a Programmable Metasurface.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Large-scale metagrating complex-based light field 3D display with space-variant resolution for non-uniform distribution of information and energy.Nanophotonics (Berlin, Germany) · 2023Article
- Lossy and noisy channel simulation in computational ghost imaging by using noise-induced pattern.Scientific reports · 2022Article
- Retina-like Computational Ghost Imaging for an Axially Moving Target.Sensors (Basel, Switzerland) · 2022Article
- Foveated glasses-free 3D display with ultrawide field of view via a large-scale 2D-metagrating complex.Light, science & applications · 2021Article
- Imaging biological tissue with high-throughput single-pixel compressive holography.Nature communications · 2021Article
- Bionic Birdlike Imaging Using a Multi-Hyperuniform LED Array.Sensors (Basel, Switzerland) · 2021Article
- Single-pixel imaging of dynamic objects using multi-frame motion estimation.Scientific reports · 2021Article
- A Novel Approach of Parallel Retina-Like Computational Ghost Imaging.Sensors (Basel, Switzerland) · 2020Article
- Application-Oriented Retinal Image Models for Computer Vision.Sensors (Basel, Switzerland) · 2020Article
- Randomized resonant metamaterials for single-sensor identification of elastic vibrations.Nature communications · 2020Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In contrast to conventional multipixel cameras, single-pixel cameras capture images using a single detector that measures the correlations between the scene and a set of patterns. However, these systems typically exhibit low frame rates, because to fully sample a scene in this way requires at least the same number of correlation measurements as the number of pixels in the reconstructed image. To mitigate this, a range of compressive sensing techniques have been developed which use a priori knowledge to reconstruct images from an undersampled measurement set. Here, we take a different approach and adopt a strategy inspired by the foveated vision found in the animal kingdom-a framework that exploits the spatiotemporal redundancy of many dynamic scenes. In our system, a high-resolution foveal region tracks motion within the scene, yet unlike a simple zoom, every frame delivers new spatial information from across the entire field of view. This strategy rapidly records the detail of quickly changing features in the scene while simultaneously accumulating detail of more slowly evolving regions over several consecutive frames. This architecture provides video streams in which both the resolution and exposure time spatially vary and adapt dynamically in response to the evolution of the scene. The degree of local frame rate enhancement is scene-dependent, but here, we demonstrate a factor of 4, thereby helping to mitigate one of the main drawbacks of single-pixel imaging techniques. The methods described here complement existing compressive sensing approaches and may be applied to enhance computational imagers that rely on sequential correlation measurements.
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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.