Results 91 to 100 of about 131 (116)

Motion-corrected MRI with DISORDER: Distributed and incoherent sample orders for reconstruction deblurring using encoding redundancy. [PDF]

Magn Reson Med, 2020
Cordero-Grande L, Ferrazzi G, Teixeira RPAG, O'Muircheartaigh J, Price AN, Hajnal JV.   +5 more
europepmc   +1 more source

Denoising of Optical Coherence Tomography Images in Ophthalmology Using Deep Learning: A Systematic Review. [PDF]

J Imaging
Ahmed H, Zhang Q, Donnan R, Alomainy A.
europepmc   +1 more source

Mask Responses for Single-Pixel Terahertz Imaging. [PDF]

Sci Rep, 2018
Augustin S, Frohmann S, Jung P, Hübers HW.   +3 more
europepmc   +1 more source

Curvelet Transform-based volume fusion for correcting signal loss artifacts in Time-of-Flight Magnetic Resonance Angiography data. [PDF]

Comput Biol Med, 2018
Baghaie A, Schnell S, Bakhshinejad A, Fathi MF, D'Souza RM, Rayz VL.   +5 more
europepmc   +1 more source

A New Deep Learning Based Multi-Spectral Image Fusion Method. [PDF]

Entropy (Basel), 2019
Piao J, Chen Y, Shin H.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

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.
Bansal, Piyush, Kumar, Ajay, Bansal, Ashish   +2 more
openaire   +1 more source

Clifford Valued Shearlet Transform

Advances in Applied Clifford Algebras, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sharma, Jyoti, Singh, Shivam Kumar
openaire   +2 more sources

Shearlet-Based Deconvolution

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, Glenn R, Easley, Dennis M, Healy   +2 more
openaire   +2 more sources

Shearlets: Theory and Applications

GAMM-Mitteilungen, 2014
AbstractMany 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, Lim, Wang-Q, Steidl, Gabriele   +2 more
openaire   +1 more source

Nonseparable Shearlet Transform

IEEE Transactions on Image Processing, 2013
Over 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.
openaire   +2 more sources