Results 201 to 210 of about 4,542 (232)
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Microlocal Analysis and Characterization of Sobolev Wavefront Sets Using Shearlets
Constructive approximation, 2020Sobolev wavefront sets and 2-microlocal spaces play a key role in describing and analyzing the singularities of distributions in microlocal analysis and solutions of partial differential equations.
B. Han, Swaraj Paul, N. Shukla
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IEEE Transactions on Image Processing, 2009
In this paper, a new type of deconvolution algorithm is proposed that is based on estimating the image from a shearlet decomposition. Shearlets provide a multidirectional and multiscale decomposition that has been mathematically shown to represent distributed discontinuities such as edges better than traditional wavelets.
Vishal M. Patel +2 more
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In this paper, a new type of deconvolution algorithm is proposed that is based on estimating the image from a shearlet decomposition. Shearlets provide a multidirectional and multiscale decomposition that has been mathematically shown to represent distributed discontinuities such as edges better than traditional wavelets.
Vishal M. Patel +2 more
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Geophysical Prospecting, 2018
Automatic feature detection from seismic data is a demanding task in today's interpretation workstations. Channels are among important stratigraphic features in seismic data both due to their reservoir capability or drilling hazard potential.
Haleh Karbalaali +4 more
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Automatic feature detection from seismic data is a demanding task in today's interpretation workstations. Channels are among important stratigraphic features in seismic data both due to their reservoir capability or drilling hazard potential.
Haleh Karbalaali +4 more
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Shearlets and sparse representation for microresistivity borehole image inpainting
, 2018Microresistivity image logs from wireline tools commonly include nonmeasured gaps corresponding to the spaces between electrode-carrying pads in contact with the borehole wall.
S. Assous, P. Elkington
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Nonseparable Shearlet Transform
IEEE Transactions on Image Processing, 2013Over the past few years, various representation systems which sparsely approximate functions governed by anisotropic features, such as edges in images, have been proposed. Alongside the theoretical development of these systems, algorithmic realizations of the associated transforms are provided.
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Oberwolfach Reports, 2011
Over the last 20 years, multiscale methods and wavelets have revolutionized the field of applied mathematics by providing an efficient means for encoding isotropic phenomena. Directional multiscale systems, particularly shearlets, are now having the same dramatic impact on the encoding of multivariate signals.
Demetrio Labate, Gitta Kutyniok
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Over the last 20 years, multiscale methods and wavelets have revolutionized the field of applied mathematics by providing an efficient means for encoding isotropic phenomena. Directional multiscale systems, particularly shearlets, are now having the same dramatic impact on the encoding of multivariate signals.
Demetrio Labate, Gitta Kutyniok
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Retinal Image Analysis with Shearlets
Smart Tools and Applications in Graphics, 2016In this paper we propose a method for segmenting blood vessels in retinal images based on the shearlet transform. Shearlets are a relatively new directional multi-scale framework for signal analysis, which have been shown effective to enhance signal ...
Francesco Levet +3 more
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Clifford Valued Shearlet Transform
Advances in Applied Clifford Algebras, 2020This paper deals with the construction of $$n=3 \text{ mod } 4$$ Clifford algebra $$Cl_{n,0}$$ -valued admissible shearlet transform using the shearlet group $$(\mathbb {R}^* < imes \mathbb {R}^{n-1}) < imes \mathbb {R}^n$$ , a subgroup of affine group of $${\mathbb {R}}^n$$ .
Jyoti Sharma, Shivam Kumar Singh
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Shearlets and their applications
AIP Conference Proceedings, 2012Shearlets were introduced as means to sparsely encode anisotropic singularities of multivariate data while providing a unified treatment of the continuous and digital realm. In this chapter, recent results on compactly supported shearlet systems will be presented, in particular, showing that these shearlet frames provide optimally sparse approximations
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A Shearlet Approach to Edge Analysis and Detection [PDF]
IEEE Transactions on Image Processing, 2009 It is well known that the wavelet transform provides a very effective framework for analysis of multiscale edges. In this paper, we propose a novel approach based on the shearlet transform: a multiscale directional transform with a greater ability to localize distributed discontinuities such as edges.
Hamid Krim +3 more
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