Results 31 to 40 of about 1,107 (155)

Recovering edges in ill-posed inverse problems: optimality of curvelet frames [PDF]

, 2002
We consider a model problem of recovering a function $f(x_1,x_2)$ from noisy Radon data. The function $f$ to be recovered is assumed smooth apart from a discontinuity along a $C^2$ curve, that is, an edge.
Candès, Emmanuel J., Donoho, David L.
core   +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

Automatic detection of ship tracks in ATSR-2 satellite imagery [PDF]

Atmospheric Chemistry and Physics, 2009
Ships modify cloud microphysics by adding cloud condensation nuclei (CCN) to a developing or existing cloud. These create lines of larger reflectance in cloud fields that are observed in satellite imagery.
E. Campmany, R. G. Grainger, S. M. Dean, A. M. Sayer   +3 more
doaj  

Coronal Mass Ejection Detection using Wavelets, Curvelets and Ridgelets: Applications for Space Weather Monitoring

, 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, Brueckner, Byrne, C.A. Young, Candès, Colaninno, Demaret, Gallagher, Gallagher, Gopalswamy, Howard, Ireland, J.P. Byrne, Kim, Kunow, Mallat, Mallat, Maloney, Michalek, Moon, Olmedo, P.T. Gallagher, R.T.J. McAteer, Robbrecht, Robbrecht, Schrijver, Starck, Stenborg, Temmer, Willett, Young   +30 more
core   +1 more source

3D medical volume segmentation using hybrid multiresolution statistical approaches [PDF]

, 2010
This article is available through the Brunel Open Access Publishing Fund. Copyright © 2010 S AlZu’bi and A Amira.3D volume segmentation is the process of partitioning voxels into 3D regions (subvolumes) that represent meaningful physical entities which ...
Alzubi, S, Amira, A
core   +2 more sources

Detection and discrimination of cosmological non-Gaussian signatures by multi-scale methods

, 2003
Recent Cosmic Microwave Background (CMB) observations indicate that the temperature anisotropies arise from quantum fluctuations in the inflationary scenario. In the simplest inflationary models, the distribution of CMB temperature fluctuations should be
Aghanim, Aghanim, Antonini, Banday, Barreiro, Bennett, Bernardeau, Bernardeau, Bouchet, Bouchet, Bromley, Candès, Castro, Cayón, Cooray, De Troia, Forni, Hobson, J.-L. Starck, Jewell, Komatsu, Kunz, N. Aghanim, Novikov, O. Forni, Ostriker, Phillips, Rousseeuw, Shandarin, Starck, Starck, Sunyaev, Verde, Vishniac   +33 more
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Poisson Denoising on the Sphere [PDF]

, 2009
International audienceIn the scope of the Fermi mission, Poisson noise removal should improve data quality and make source detection easier. This paper presents a method for Poisson data denoising on sphere, called Multi-Scale Variance Stabilizing ...
Casandjian, Jean-Marc, Fadili, Jalal M., Grenier, Isabelle, Schmitt, Jeremy, Starck, Jean-Luc   +4 more
core   +4 more sources

Very high quality image restoration by combining wavelets and curvelets [PDF]

, 2001
We outline digital implementations of two newly developed multiscale representation systems, namely, the ridgelet and curvelet transforms. We apply these digital transforms to the problem of restoring an image from noisy data and compare our results with
Candès, E. J., Donoho, D. L., Starck, J.-L.   +2 more
core   +1 more source

A ridgelet neural network approach to sports image classification: Optimization using advanced Parrot algorithm

Ain Shams Engineering Journal
Recently, the sports images classification has been transformed into an extremely important subject due to its rising applicability in sports-oriented applications.
Jie Cao, SiYuan Niu
doaj   +1 more source

Toward reduction of artifacts in fused images [PDF]

, 2011
Most fusion satellite image methodologies at pixel-level introduce false spatial details, i.e.artifacts, in the resulting fusedimages. In many cases, these artifacts appears because image fusion methods do not consider the differences in roughness or ...
Alonso, Alparone, Arduini, Bruzzone, Chavez, Choi, Conci, Consuelo Gonzalo, Do, Falconer, Gonzalez-Audicana, Gonzalo, Grazzini, Huang, Huiping, Karathanassi, Kruse, Li, Li, Lillo-Saavedra, Lillo-Saavedra, Mallat, Mandelbrot, Mario Lillo-Saavedra, Mitchell, Myint, Nencini, Octavio Lagos, Parrinello, Parrinello, Pentland, Pohl, Qu, Sun, Sun, Toet, Tu, Tu, Vijayaraj, Wang, Wang, Yang, Zhang, Zhou, Zribi   +44 more
core   +2 more sources