High-resolution image recovery from image-plane arrays, using convex projections.
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Summary
It is shown that readily obtained prior knowledge can be used to obtain good-quality imagery with reduced data and the effect of noise on the reconstruction process is considered.
- Type
- article
- Published
- 1989-11-01
- Cited by
- 804
- References
- 12
- OpenAlex
- https://openalex.org/W2058523468
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:36691799
Keywords
Optics, Detector, Image quality, Computer science, Image plane
References
- Super-resolution through Error Energy Reduction
- Tomographic Image Reconstruction from Incomplete View Data by Convex Projections and Direct Fourier Inversion
- The Fourier reconstruction of a head section
- An iterative method for the extrapolation of band-limited functions
- Image Restoration by the Method of Convex Projections: Part 1ߞTheory
- Image reconstruction from multiple 1-D scans using filtered localized projection.
- Concatenation of characteristic functions in Hamiltonian optics
- Iterative convolution backprojection algorithms for image reconstruction from limited data
- A new algorithm in spectral analysis and band-limited extrapolation.
- Tomographic image reconstruction using the theory of convex projections.
- Remote Sensing Digital Image Analysis
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- Spatial Resolution Enhancement of Low-Resolution Image Sequences A Comprehensive Review with Directions for Future Research
- A multi-frame super-resolution algorithm using pocs and wavelet
- Super-Resolution Image Reconstruction From Aliased FLIR Imagery
- A Hybrid System Based on Single and Multi-Frame Techniques for Super-Resolution of Video Sequence
- Latest Results on High-Resolution Reconstruction from Video Sequences
- Stochastic Optimization for Learning-based Super-resolution: Algorithms and Applications
- Topics in Multiframe Superresolution Restoration
- Spatially Adaptive Interpolation And Super-Resolution Using The Optimal Recovery Framework
- Hyperspectral Imagery Super-Resolution by Adaptive POCS and Blur Metric
- Adaptive regularization for super-resolution-image reconstruction based on local structures: Adaptive regularization for super-resolution-image reconstruction based on local structures
- Amélioration de la résolution en imagerie ultrasonore
- New structure for multi-aspect SAR image target recognition with multi-level joint consideration
- Image enhancement using hierarchical Bayesian image expansion super resolution
- Feature-preserving image restoration and its application in biological fluorescence microscopy
- Adaptive patch-based POCS approach for super resolution reconstruction of 4D-CT lung data
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