Results 11 to 20 of about 3,242 (211)
ACM Transactions on Mathematical Software, 2016 Wavelets and their associated transforms are highly efficient when approximating and analyzing one-dimensional signals. However, multivariate signals such as images or videos typically exhibit curvilinear singularities, which wavelets are provably deficient in sparsely approximating and also in analyzing in the sense of, for instance, detecting their ...
Kutyniok, Gitta +2 more
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Visual sensor image enhancement based on non-sub-sampled shearlet transform and phase stretch transform [PDF]
EURASIP Journal on Wireless Communications and Networking, 2019 Acquiring clear images is a requisite in visual sensor networks. Image enhancement is an effective way to improve image quality. In this paper, non-sub-sampled shearlet transform (NSST) multi-scale analysis is combined with phase stretch transform (PST ...
Ying Tong
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Use of the Shearlet Transform and Transfer Learning in Offline Handwritten Signature Verification and Recognition [PDF]
Sahand Communications in Mathematical Analysis, 2020 Despite the growing growth of technology, handwritten signature has been selected as the first option between biometrics by users. In this paper, a new methodology for offline handwritten signature verification and recognition based on the Shearlet ...
Atefeh Foroozandeh +2 more
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GF-3 SAR IMAGE DESPECKLING BASED ON THE IMPROVED NON-LOCAL MEANS USING NON-SUBSAMPLED SHEARLET TRANSFORM [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 GF-3 synthetic aperture radar (SAR) images are rich in information and have obvious sparse features. However, the speckle appears in the GF-3 SAR images due to the coherent imaging system and it hinders the interpretation of images seriously.
R. Shi, Z. Sun
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Fast Finite Shearlet Transform [PDF]
, 2012 In recent years it has turned out that shearlets have the potential to retrieve directional information so that they became interesting for many applications. Moreover the continuous shearlet transform has the outstanding property to stem from a square integrable group representation.
S. Häuser, Gabriele Steidl
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Identification of Colon Cancer Using Multi-Scale Feature Fusion Convolutional Neural Network Based on Shearlet Transform [PDF]
IEEE Access, 2020 Colon cancer identification is of great significance in medical diagnosis. Real-time, objective and accurate inspection results will facilitate medical professionals to explore symptomatic treatment promptly.
Meiyan Liang +4 more
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A Convolution-Based Shearlet Transform in Free Metaplectic Domains
Journal of Mathematics, 2021 The free metaplectic transformation (FMT) is a multidimensional integral transform that encompasses a broader range of integral transforms, from the classical Fourier to the more recent linear canonical transforms. The aim of this study is to introduce a
Tarun K. Garg +3 more
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The Continuous Shearlet Transform in Arbitrary Space Dimensions [PDF]
Journal of Fourier Analysis and Applications, 2009 This note is concerned with the generalization of the continuous shearlet transform to higher dimensions. Similar to the two-dimensional case, our approach is based on translations, anisotropic dilations and specific shear matrices. We show that the associated integral transform again originates from a square-integrable representation of a ...
Stephan Dahlke +2 more
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Space–Time Signal Analysis and the 3D Shearlet Transform [PDF]
Journal of Mathematical Imaging and Vision, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Damiano Malafronte +2 more
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A novel MRI PET image fusion using shearlet transform and pulse coded neural network [PDF]
Scientific ReportsImage fusion involves combining details from two or more different imaging techniques, say MRI and PET images and provides a better image for diagnosis and treatment. Despite the fact standard spatial domain methods are being used successfully, including
Vella Satyanarayana, P. Mohanaiah
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