Results 101 to 110 of about 169 (141)
Denoising of Optical Coherence Tomography Images in Ophthalmology Using Deep Learning: A Systematic Review. [PDF]
J ImagingAhmed H, Zhang Q, Donnan R, Alomainy A.
europepmc +1 more source
Mask Responses for Single-Pixel Terahertz Imaging. [PDF]
Sci Rep, 2018 Augustin S +3 more
europepmc +1 more source
Applied and Computational Harmonic Analysis, 2015 In this paper, we introduce Gabor shearlets, a variant of shearlet systems, which are based on a different group representation than previous shearlet constructions: they combine elements from Gabor and wavelet frames in their construction. As a consequence, they can be implemented with standard filters from wavelet theory in combination with standard ...
Xiaosheng Zhuang, Gitta Kutyniok
exaly +5 more sources
Introduction to Shearlets [PDF]
Applied and Numerical Harmonic Analysis, 2012 Shearlets emerged in recent years among the most successful frameworks for the efficient representation of multidimensional data. Indeed, after it was recognized that traditional multiscale methods are not very efficient at capturing edges and other anisotropic features which frequently dominate multidimensional phenomena, several methods were ...
Gitta Kutyniok +2 more
exaly +2 more sources
Some of the next articles are maybe not open access.
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 ...
Francesca Odone +2 more
exaly +4 more sources
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 ...
Gitta Kutyniok +2 more
exaly +4 more sources
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
openaire +1 more source
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
openaire +2 more sources
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
openaire +2 more sources
Image Separation Using Wavelets and Shearlets [PDF]
Lecture Notes in Computer Science, 2012 In this paper, we present an image separation method for separating images into point- and curvelike parts by employing a combined dictionary consisting of wavelets and compactly supported shearlets utilizing the fact that they sparsely represent point and curvilinear singularities, respectively. Our methodology is based on the very recently introduced
Gitta Kutyniok +2 more
exaly +3 more sources
A new construction of shearlets
Infinite Dimensional Analysis, Quantum Probability and Related Topics, 2022In order to achieve optimally sparse approximations of signals exhibiting anisotropic singularities, the shearlet systems that are systems of functions generated by one generator with dilation, shear transformation and translation operators applied to it were introduced.
Pooran Ghaderihasab, Ahmad Ahmadi
openaire +1 more source