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

Starck et al., 2011 - Google Patents

The starlet transform in astronomical data processing: Application to source detection and image deconvolution

Starck et al., 2011

View PDF
Document ID
9394387514458002192
Author
Starck J
Murtagh F
Bertero M
Publication year
Publication venue
Handbook of mathematical methods in imaging

External Links

Snippet

We begin with traditional source detection algorithms in astronomy. We then introduce the sparsity data model. The starlet wavelet transform serves as our main focus in this article. Sparse modeling, and noise modeling, are described. Applications to object detection and …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20048—Transform domain processing
    • G06T2207/20064—Wavelet transform [DWT]
    • 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
    • G06T2207/20—Special algorithmic details
    • G06T2207/20048—Transform domain processing
    • G06T2207/20056—Discrete and fast Fourier transform, [DFT, FFT]
    • 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
    • G06T2207/30004—Biomedical image processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20016—Hierarchical, coarse-to-fine, multiscale or multiresolution image processing; Pyramid transform
    • 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
    • G06T2207/10024—Color image
    • 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
    • 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
    • G06T5/20—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
    • G06T11/00—2D [Two Dimensional] image generation
    • G06T11/003—Reconstruction from projections, e.g. tomography
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • 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
    • G06T2211/00—Image generation

Similar Documents

Publication Publication Date Title
Starck et al. The starlet transform in astronomical data processing: Application to source detection and image deconvolution
Starck et al. Deconvolution in astronomy: A review
Li et al. PURE-LET image deconvolution
Pustelnik et al. Wavelet-based image deconvolution and reconstruction
Starck et al. Structure detection in low intensity X-ray images
Zhang et al. Multiscale variance-stabilizing transform for mixed-Poisson-Gaussian processes and its applications in bioimaging
Zhang et al. Denoising atomic resolution 4D scanning transmission electron microscopy data with tensor singular value decomposition
Marnissi et al. A variational Bayesian approach for image restoration—Application to image deblurring with Poisson–Gaussian noise
Vono et al. Bayesian image restoration under Poisson noise and log-concave prior
Bourdin et al. Temperature map computation for X-ray clusters of galaxies
Lyu et al. Iterative reconstruction for low dose CT using Plug-and-Play alternating direction method of multipliers (ADMM) framework
Bourennane et al. Improvement of target-detection algorithms based on adaptive three-dimensional filtering
US9940546B2 (en) Apparatus and method for signal extraction and separation
González et al. Non-parametric PSF estimation from celestial transit solar images using blind deconvolution
Starck et al. A combined approach for object detection and deconvolution
Starck et al. Handbook of Astronomical Data Analysis
Nauwynck et al. Ring artifact reduction in sinogram space using deep learning
Won et al. Low-dose CT denoising using octave convolution with high and low frequency bands
Hosseinian et al. Assessment of restoration methods of X-ray images with emphasis on medical photogrammetric usage
Gallé et al. Extended-object reconstruction in adaptive-optics imaging: the multiresolution approach
Sun et al. Nonnegative Sparse Blind Source Separation for NMR Spectroscopy by Data Clustering, Model Reduction, and \ell_1 Minimization
Mukhin et al. Wavelet-based image decomposition method for NuSTAR stray light background studies
Kervrann et al. Approximate Bayesian Computation, stochastic algorithms and non-local means for complex noise models
Bahraini et al. Bayesian framework selection for hyperspectral image denoising
Zhang et al. Tensor decomposition and nonlocal means based spectral CT reconstruction