First arrival time picking for microseismic data based on shearlet transform [PDF]
, 2017 Yao Cheng, Yue Li, Chao Zhang
openalex +1 more source
A Shearlet-TV Regularization Approach for Image Denoising in the ADMM Framework
, 2017 Xingguo Liu +18 more
openalex +1 more source
Dualizable Shearlet Frames and Sparse Approximation [PDF]
, 2014 Gitta Kutyniok, Wang‐Q Lim
openalex +1 more source
Feature Extraction Based on Non-Subsampled Shearlet Transform (NSST) with Application to SAR Image Data [PDF]
, 2020 Huijie Ding, Arthur K. L. Lin
openalex +1 more source
Blind deconvolution using shearlet -tv regularization
, 2019 In this article we propose two minimization models for blind deconvolution. In the first model, we use shearlet transform as a regularization term for recovering image. Also total variation method is used as a regularization term for point spread function(PSF). To speed up the process, Fast ADMM approach is exploited.
MOUSAVİ, Z. +2 more
openaire +2 more sources
Compressed sensing magnetic resonance imaging based on shearlet sparsity and nonlocal total variation. [PDF]
J Med Imaging (Bellingham), 2017 Yazdanpanah AP, Regentova EE.
europepmc +1 more source
The actin cytoskeleton: Morphological changes in pre- and fully developed lung cancer. [PDF]
Biophys Rev (Melville), 2022 Basu A, Paul MK, Weiss S.
europepmc +1 more source
A New Variational Approach for Multiplicative Noise and Blur Removal. [PDF]
PLoS One, 2017 Ullah A, Chen W, Khan MA, Sun H.
europepmc +1 more source
MRI Volume Fusion Based on 3D Shearlet Decompositions. [PDF]
Int J Biomed Imaging, 2014 Duan C, Wang S, Wang XG, Huang QH.
europepmc +1 more source
Combined shearlet and TV regularization in sparse-view CT reconstruction [PDF]
, 2012 Goossens, Bart +6 more
core