Single-pixel imaging via compressive sampling
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Summary
A new camera architecture based on a digital micromirror device with the new mathematical theory and algorithms of compressive sampling is presented that can operate efficiently across a broader spectral range than conventional silicon-based cameras.
- Type
- article
- Published
- 2008-03-01
- Cited by
- 3,567
- References
- 32
- OpenAlex
- https://openalex.org/W2122548617
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:11454318
Keywords
Computer science, Compressed sensing, Sampling (signal processing), Digital micromirror device, Pixel
References
- Motion-compensated highly scalable video compression using an adaptive 3D wavelet transform based on lifting
- Target detection using integrated hyper spectral sensing and processing
- Compressive optical MONTAGE photography
- Random Projections of Smooth Manifolds
- A Simple Proof of the Restricted Isometry Property for Random Matrices
- Confocal microendoscopy with chromatic sectioning
- Sensor-layer image compression based on the quantized cosine transform
- Virtual sensor design
- Multiplex sensors and the constant radiance theorem.
- High-speed confocal laser scanning microscopy using acousto-optic deflectors and a digital micromirror device
- Compressive Sensing [Lecture Notes]
- A new compressive imaging camera architecture using optical-domain compression
- Sparsity and incoherence in compressive sampling
- The multiscale structure of non-differentiable image manifolds
- The smashed filter for compressive classification and target recognition
- Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
- Random Lens Imaging
- Sparse Signal Detection from Incoherent Projections
- Stable signal recovery from incomplete and inaccurate measurements
- Dual photography
Cited by
- Sum frequency generation-compressive sensing microscope.
- Compressed Measurement of Structural Similarity Index
- Transmission-Type 2-Bit Programmable Metasurface for Single-Sensor and Single-Frequency Microwave Imaging
- Active computational imaging for circumventing resolution limits at macroscopic scales.
- Motionless volumetric photoacoustic microscopy with spatially invariant resolution
- Computer-generated hologram marked by correlated photon imaging.
- Single-pulse ablation of multi-depth structures via spatially filtered binary intensity masks.
- Inference of Low-Dimensional Latent Structure in High-Dimensional Data
- Measurement Matrix Construction for Large-area Single Photon Compressive Imaging
- Broadband high-resolution terahertz single-pixel imaging.
- Sparse coding for machine learning, image processing and computer vision
- Deterministic Compressed Sensing
- An efficient algorithm for total variation regularization with applications to the single pixel camera and compressive sensing
- Compressive Domain Interference Cancellation
- Compressive Sensing for Multi-channel and Large-scale MIMO Networks
- Vision-based Human Action Recognition: A Sparse Representation Perspective
- Successive Convex Approximation: Analysis and Applications
- On Evolution of CMOS Image Sensors
- Making the Most of Thin Data: A Hardware-Software Approach
- Parallel Compressed Sensing Reconstruction
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