Results 21 to 30 of about 2,777 (169)
Edge detection in microscopy images using curvelets
BMC Bioinformatics, 2009 Background Despite significant progress in imaging technologies, the efficient detection of edges and elongated features in images of intracellular and multicellular structures acquired using light or electron microscopy is a challenging and time ...
Koumoutsakos Petros, Gebäck Tobias
doaj +1 more source
Astronomical Data Analysis and Sparsity: from Wavelets to Compressed Sensing [PDF]
, 2009 Wavelets have been used extensively for several years now in astronomy for many purposes, ranging from data filtering and deconvolution, to star and galaxy detection or cosmic ray removal.
Bobin, Jerome, Starck, Jean-Luc
core +3 more sources
Local appearance-based face recognition using adaptive directional wavelet transform
Journal of King Saud University: Computer and Information Sciences, 2019 The latest research has shown that adaptive directional wavelet transform can constitute edges and textures in images efficiently due to the adaptive directional selectivity.
Mohd. Abdul Muqeet, Raghunath S. Holambe
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A proximal iteration for deconvolving Poisson noisy images using sparse representations [PDF]
, 2008 We propose an image deconvolution algorithm when the data is contaminated by Poisson noise. The image to restore is assumed to be sparsely represented in a dictionary of waveforms such as the wavelet or curvelet transforms.
Dupé, François-Xavier +2 more
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IEEE Signal Processing Magazine, 2010 Multiresolution methods are deeply related to image processing, biological and computer vision, and scientific computing. The curvelet transform is a multiscale directional transform that allows an almost optimal nonadaptive sparse representation of objects with edges.
Ma, Jianwei, Plonka, Gerlind
openaire +2 more sources
Deconvolution under Poisson noise using exact data fidelity and synthesis or analysis sparsity priors [PDF]
, 2011 In this paper, we propose a Bayesian MAP estimator for solving the deconvolution problems when the observations are corrupted by Poisson noise. Towards this goal, a proper data fidelity term (log-likelihood) is introduced to reflect the Poisson ...
Dupé, François-Xavier +2 more
core +4 more sources
Improved Reconstruction of MR Scanned Images by Using a Dictionary Learning Scheme
Sensors, 2019 The application of compressed sensing (CS) to biomedical imaging is sensational since it permits a rationally accurate reconstruction of images by exploiting the image sparsity.
Shahid Ikram +4 more
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Fast Computation of Fourier Integral Operators [PDF]
, 2006 We introduce a general purpose algorithm for rapidly computing certain types of oscillatory integrals which frequently arise in problems connected to wave propagation and general hyperbolic equations.
Candes, Emmanuel +2 more
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, 2010 Coronal mass ejections (CMEs) are large-scale eruptions of plasma and magnetic feld that can produce adverse space weather at Earth and other locations in the Heliosphere.
Aschwanden +30 more
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Polarized wavelets and curvelets on the sphere
, 2009 The statistics of the temperature anisotropies in the primordial cosmic microwave background radiation field provide a wealth of information for cosmology and for estimating cosmological parameters. An even more acute inference should stem from the study
Bobin, J., Moudden, Y., Starck, J. L.
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