Results 51 to 60 of about 3,242 (211)
Cone-Adapted Shearlets and Radon Transforms [PDF]
, 2020 19 pages, 3 ...
Bartolucci F., De Mari F., De Vito E.
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Wavelet Coorbit Spaces viewed as Decomposition Spaces [PDF]
, 2014 In this paper we show that the Fourier transform induces an isomorphism between the coorbit spaces defined by Feichtinger and Gr\"ochenig of the mixed, weighted Lebesgue spaces $L_{v}^{p,q}$ with respect to the quasi-regular representation of a semi ...
Führ, Hartmut, Voigtlaender, Felix
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Wavelet/shearlet hybridized neural networks for biomedical image restoration [PDF]
, 2019 Recently, new programming paradigms have emerged that combine parallelism and numerical computations with algorithmic differentiation. This approach allows for the hybridization of neural network techniques for inverse imaging problems with more ...
Burger +12 more
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Iterative CT reconstruction based on ADMM using shearlet sparse regularization
Mathematical Biosciences and Engineering, 2022 The total variation (TV) method favors solutions with the piece-wise constant assumption of the desired image from sparse-view sampling, for example, simple geometric images with flat intensity.
Dayu Xiao +4 more
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IMAGE DENOISING USING WAVELET AND SHEARLET TRANSFORM
International Journal of Research -GRANTHAALAYAH, 2017 Image plays an important role in this present technological world which further leads to progress in multimedia communication, various research field related to image processing, etc. The images are corrupted due to various noises which occur in nature and poor performance of electronic devices. The various types of noise patterns observed in the image
Bharath Kumar S +4 more
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Image registration using the shearlet transform [PDF]
SPIE Proceedings, 2015 In this paper, we present an algorithm for image registration utilizing the shearlet representation. The shearlet framework allows one to collect multi-scale and multi-directional feature information from multidimensional data that can be used to create key feature vectors that are scale, rotation, and shift invariant. These key feature vectors produce
Glenn R. Easley +2 more
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Continuous Shearlet Tight Frames
, 2010 Based on the shearlet transform we present a general construction of continuous tight frames for $L^2(\mathbb{R}^2)$ from any sufficiently smooth function with anisotropic moments.
Grohs, Philipp
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Scale Invariant Interest Points with Shearlets
, 2016 Shearlets are a relatively new directional multi-scale framework for signal analysis, which have been shown effective to enhance signal discontinuities such as edges and corners at multiple scales.
De Vito, Ernesto +3 more
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Recent Progress in Shearlet Theory: Systematic Construction of Shearlet Dilation Groups, Characterization of Wavefront Sets, and New Embeddings [PDF]
, 2016 The class of generalized shearlet dilation groups has recently been developed to allow the unified treatment of various shearlet groups and associated shearlet transforms that had previously been studied on a case-by-case basis.
E.J. Candès +26 more
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IEEE Access, 2021 Seismic exploration is a remote-sensing tool applied in a great many projects for engineering and resource-exploration purposes. Random noise suppression is one of the key steps in seismic-signal processing, especially those with important details and ...
Xiannan Wang, Jian Zhang, Hao Cheng
doaj +1 more source