[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Nunez et al., 1993 - Google Patents

A general Bayesian image reconstruction algorithm with entropy prior. Preliminary application to HST data

Nunez et al., 1993

View HTML
Document ID
17548049427892629925
Author
Nunez J
Llacer J
Publication year
Publication venue
Publications of the Astronomical Society of the Pacific

External Links

Snippet

This paper describes a general Bayesian iterative algorithm with entropy prior for image reconstruction. It solves the cases of both pure Poisson data and Poisson data with Gaussian readout noise. The algorithm maintains positivity of the solution; it includes case …
Continue reading at adsabs.harvard.edu (HTML) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G06T11/003—Reconstruction from projections, e.g. tomography
    • G06T11/006—Inverse problem, transformation from projection-space into object-space, e.g. transform methods, back-projection, algebraic methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G06T11/003—Reconstruction from projections, e.g. tomography
    • G06T11/005—Specific pre-processing for tomographic reconstruction, e.g. calibration, source positioning, rebinning, scatter correction, retrospective gating
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2211/00—Image generation
    • G06T2211/40—Computed tomography
    • G06T2211/424—Iterative
    • 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
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G06T5/007—Dynamic range modification
    • G06T5/008—Local, e.g. shadow enhancement
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G06T5/001—Image restoration
    • G06T5/002—Denoising; Smoothing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G06T5/20—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image by the use of local operators
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • 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

Similar Documents

Publication Publication Date Title
Nunez et al. A general Bayesian image reconstruction algorithm with entropy prior. Preliminary application to HST data
Molina et al. Using spatial models as priors in astronomical image analysis
Reader et al. EM algorithm system modeling by image-space techniques for PET reconstruction
Snyder et al. Noise and edge artifacts in maximum-likelihood reconstructions for emission tomography
Petr et al. Binary stars in the Orion Trapezium cluster core
Knodlseder et al. Image reconstruction of COMPTEL 1.8 MeV 26Al line data
Starck et al. The starlet transform in astronomical data processing: Application to source detection and image deconvolution
Esch et al. An image restoration technique with error estimates
Bertero et al. Application of the OS-EM method to the restoration of LBT images
CN106339996A (en) Image blind defuzzification method based on hyper-Laplacian prior
Adorf Hubble space telescope image restoration in its fourth year
Cao et al. Cross Burg entropy maximization and its application to ringing suppression in image reconstruction
Wang et al. A 3D Magnetospheric CT Reconstruction Method Based on 3D GAN and Supplementary Limited‐Angle 2D Soft X‐Ray Images
Anconelli et al. Restoration of interferometric images-III. Efficient Richardson-Lucy methods for LINC-NIRVANA data reduction
Sylwester et al. ANDRIL-Maximum Likelihood Algorithm for Deconvolution of SXT Images
Adorf et al. HST image restoration developments at the ST‐ECF
Gopi et al. Iterative computed tomography reconstruction from sparse-view data
Norouzi et al. CNN to mitigate atmospheric turbulence effect on Shack-Hartmann Wavefront Sensing: A case study on the Magdalena Ridge Observatory Interferometer.
US20190206094A1 (en) Fast iterative image reconstruction method for emission tomography
Okoshi et al. Improvement of the spatial resolution with a deconvolution method for a multi-pinhole SPECT system
Anconelli et al. Iterative methods for the reconstruction of astronomical images with high dynamic range
Majee High speed imaging via advanced modeling
Matson et al. Optimal Fourier spectrum estimation from the bispectrum
WANG et al. HOW WRONG COULD WE BE? A NEW WAY TO SOLVE UNDERDETERMINED LINEAR EQUATIONS, ILLUSTRATED VIA COMPUTED TOMOGRAPHY.
Hanisch et al. HST image restoration with variable resolution