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Direct visual servoing using the shearlet and the wavelet transform of the image
, 2018 Lesley-Ann Duflot
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Towards Ultrasound-based Visual Servoing using Shearlet Coefficients.
, 2016 Lesley Duflot +3 more
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Continuous Modulated Shearlet Transform
Advances in Pure and Applied Mathematics, 2022Summary: We generalize the well-known transforms such as short-time Fourier transform, wavelet transform and shearlet transform and refer it as Continuous Modulated Shearlet Transform. Important properties like Plancherel formula and inversion formula have been investigated. Uncertainty inequalities associated with this transform are presented.
Bansal, Piyush +2 more
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Clifford Valued Shearlet Transform
Advances in Applied Clifford Algebras, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sharma, Jyoti, Singh, Shivam Kumar
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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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Shearlets: Theory and Applications
GAMM-Mitteilungen, 2014AbstractMany important problem classes are governed by anisotropic features such as singularities concentrated on lower dimensional embedded manifolds, for instance, edges in images or shock fronts in solutions of transport dominated equations. While the ability to reliably capture and sparsely represent anisotropic structures is obviously the more ...
Kutyniok, Gitta +2 more
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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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Shearlet Enhanced Snapshot Compressive Imaging
IEEE Transactions on Image Processing, 2020Snapshot compressive imaging (SCI) is a promising approach to capture high-dimensional data with low dimensional sensors. With modest modifications to off-the-shelf cameras, SCI cameras encode multiple frames into a single measurement frame. These correlated frames can then be retrieved by reconstruction algorithms.
Peihao Yang +4 more
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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.
Gitta Kutyniok, Demetrio Labate
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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.
Gitta Kutyniok, Demetrio Labate
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Edges and Corners With Shearlets
IEEE Transactions on Image Processing, 2015Shearlets are a relatively new and very effective multi-scale framework for signal analysis. Contrary to the traditional wavelets, shearlets are capable to efficiently capture the anisotropic information in multivariate problem classes. Therefore, shearlets can be seen as the valid choice for multi-scale analysis and detection of directional sensitive ...
DUVAL POO, MIGUEL ALEJANDRO +2 more
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