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Image fusion based on shift invariant shearlet transform and stacked sparse autoencoder
Journal of Algorithms & Computational Technology, 2018 Stacked sparse autoencoder is an efficient unsupervised feature extraction method, which has excellent ability in representation of complex data. Besides, shift invariant shearlet transform is a state-of-the-art multiscale decomposition tool, which is ...
Peng-Fei Wang +3 more
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Light Field Reconstruction Using Shearlet Transform [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018 12 pages, 11 ...
Suren Vagharshakyan +2 more
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Shearlets as Multi-scale Radon Transforms
Sampling Theory in Signal and Image Processing, 2017 It is shown that the 2D-shearlet transform is the composition of the affine Radon transform, a 1D-wavelet transform and a 1D-convolution. This is applied to give an alternative proof of the fact that the shearlet transform is able to resolve the wavefront set associated with the unit disc.
BARTOLUCCI, FRANCESCA +3 more
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Shearlet Transform and the Application in Image Processing
, 2022 Shearlet is a multi-dimensional function used for sparse representation, which has many excellent characteristics such as multi-resolution and multi-direction. It can detect the position of singular points and the direction of singular curves, and is more sensitive to the geometric structure of the image.
Haitao H. +3 more
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Continuous Modulated Shearlet Transform
Advances in Pure and Applied Mathematics, 2022 Summary: 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.
Piyush Bansal +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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Shearlet Transform Applied to a Prostate Cancer Radiomics Analysis on MR Images
MathematicsFor decades, wavelet theory has attracted interest in several fields in dealing with signals. Nowadays, it is acknowledged that it is not very suitable to face aspects of multidimensional data like singularities and this has led to the development of ...
Rosario Corso +2 more
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Image Sequence Fusion and Denoising Based on 3D Shearlet Transform [PDF]
Journal of Applied Mathematics, 2014 We propose a novel algorithm for image sequence fusion and denoising simultaneously in 3D shearlet transform domain. In general, the most existing image fusion methods only consider combining the important information of source images and do not deal ...
Liang Xu, Junping Du, Zhenhong Zhang
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Asymptotic Analysis of Shearlet Transfom for Inpainting [PDF]
Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2018 Supply of missing data, also known as inpainting, is an important application of image processing.Wavelets are commonly used for inpainting algorithms. Shearlet transform which is an affinetransformation is the improvement of the wavelet transform.
Süleyman Çetinkaya +2 more
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The continuous shearlet transform in arbitrary dimensions [PDF]
, 2008 This paper 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.
Dahlke, Stephan +2 more
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