Naghibzadeh et al., 2018 - Google Patents
Facet-Based Regularization for Scalable Radio-Interferometric ImagingNaghibzadeh et al., 2018
View PDF- Document ID
- 12482697851010966712
- Author
- Naghibzadeh S
- Repetti A
- van der Veen A
- Wiaux Y
- Publication year
- Publication venue
- 2018 26th European Signal Processing Conference (EUSIPCO)
External Links
Snippet
Current and future radio telescopes deal with large volumes of data and are expected to generate high resolution gigapixel-size images. The imaging problem in radio interferometry is highly ill-posed and the choice of prior model of the sky is of utmost importance to …
- 238000003384 imaging method 0 title abstract description 11
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/14—Fourier, Walsh or analogous domain transformations, e.g. Laplace, Hilbert, Karhunen-Loeve, transforms
- G06F17/141—Discrete Fourier transforms
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/16—Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R33/00—Arrangements or instruments for measuring magnetic variables
- G01R33/20—Arrangements or instruments for measuring magnetic variables involving magnetic resonance
- G01R33/44—Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
- G01R33/48—NMR imaging systems
- G01R33/54—Signal processing systems, e.g. using pulse sequences, Generation or control of pulse sequences ; Operator Console
- G01R33/56—Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution
- G01R33/561—Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution by reduction of the scanning time, i.e. fast acquiring systems, e.g. using echo-planar pulse sequences
- G01R33/5611—Parallel magnetic resonance imaging, e.g. sensitivity encoding [SENSE], simultaneous acquisition of spatial harmonics [SMASH], unaliasing by Fourier encoding of the overlaps using the temporal dimension [UNFOLD], k-t-broad-use linear acquisition speed-up technique [k-t-BLAST], k-t-SENSE
- G01R33/5612—Parallel RF transmission, i.e. RF pulse transmission using a plurality of independent transmission channels
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00496—Recognising patterns in signals and combinations thereof
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
- G06T3/40—Scaling the whole image or part thereof
- G06T3/4084—Transform-based scaling, e.g. FFT domain scaling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Zheng et al. | A unified framework for sparse relaxed regularized regression: SR3 | |
Ongie et al. | A fast algorithm for convolutional structured low-rank matrix recovery | |
Garsden et al. | LOFAR sparse image reconstruction | |
Repetti et al. | Non-convex optimization for self-calibration of direction-dependent effects in radio interferometric imaging | |
Cárcamo et al. | Multi-GPU maximum entropy image synthesis for radio astronomy | |
Mahalanobis et al. | Object specific image reconstruction using a compressive sensing architecture for application in surveillance systems | |
Chu et al. | A high-resolution and low-frequency acoustic beamforming based on Bayesian inference and non-synchronous measurements | |
Dabbech et al. | First AI for deep super-resolution wide-field imaging in radio astronomy: unveiling structure in ESO 137-006 | |
Vijay Kartik et al. | A Fourier dimensionality reduction model for big data interferometric imaging | |
Abdulaziz et al. | Wideband super-resolution imaging in radio interferometry via low rankness and joint average sparsity models (HyperSARA) | |
Harding et al. | Radar imaging with compressed sensing | |
Katzberg et al. | A compressed sensing framework for dynamic sound-field measurements | |
Ma et al. | Accelerated image reconstruction for nonlinear diffractive imaging | |
van der Veen et al. | Signal processing for radio astronomy | |
Yang et al. | Nonuniform linear array DOA estimation using EM criterion | |
Mhiri et al. | Regularized maximum likelihood estimation for radio interferometric imaging in the presence of radiofrequency interferences | |
Sutton et al. | Optimal image reconstruction in radio interferometry | |
Ammanouil et al. | Multi-frequency image reconstruction for radio-interferometry with self-tuned regularization parameters | |
Naghibzadeh et al. | Facet-Based Regularization for Scalable Radio-Interferometric Imaging | |
Volaric et al. | On the noise impact in the L1 based reconstruction of the sparse time-frequency distributions | |
Ribeiro et al. | Fast transforms for acoustic imaging—part II: Applications | |
Repetti et al. | Uncertainty quantification in imaging: when convex optimization meets Bayesian analysis | |
Onose et al. | A randomised primal-dual algorithm for distributed radio-interferometric imaging | |
Thouvenin et al. | Parallel faceted imaging in radio interferometry via proximal splitting (Faceted HyperSARA): when precision meets scalability | |
Wang et al. | Antenna sub-array switching strategy for low-cost & high-resolution radio-astronomical imaging |