Remote SensingThis study introduces a novel multi-channel predictive deconvolution method enhanced by Shearlet-based sparse regularization, aimed at improving the accuracy and stability of subsurface seismic imaging, particularly in offshore wind farm site assessments.
Yang Zhang +5 more
doaj +1 more source
Detecting Spatio-Temporally Interest Points Using the Shearlet Transform
, 2017 In this paper we address the problem of detecting spatio-temporal interest points in video sequences and we introduce a novel detection algorithm based on the three-dimensional shearlet transform.
Odone, Francesca +5 more
core +1 more source
Characterization of Piecewise-Smooth Surfaces Using the 3D Continuous Shearlet Transform
, 2011 One of the most striking features of the Continuous Shearlet Transform is its ability to precisely characterize the set of singularities of multivariable functions through its decay at fine scales.
Kanghui Guo, Demetrio Labate
core
Comparing Undecimated Wavelet, Nonsubsampled Contourlet and Shearlet for Sar Images Despeckling
Majlesi Journal of Electrical EngineeringSynthetic Aperture Radar (SAR) images suffer of multiplicative speckle noise, which damages the radiometric resolution of SAR images and makes the data interpretation difficult.
Saeed Jafari +2 more
doaj
Analysis and detection of surface discontinuities using the 3D continuous shearlet transform
, 2011 Directional multiscale transforms such as the shearlet transform have emerged in recent years for their ability to capture the geometrical information associated with the singularity sets of bivariate functions and distributions. One of the most striking
Kanghui Guo +3 more
core +1 more source
3D OCT image compression using shearlet transform
, 2019 International audience3D OCT image compression using shearlet ...
Bartoli, A +3 more
core +1 more source
A New Shearlet Framework for Image Denoising
Iranian Journal of Electrical and Electronic Engineering, 2016 Traditional noise removal methods like Non-Local Means create spurious boundaries inside regular zones. Visushrink removes too many coefficients and yields recovered images that are overly smoothed.
E. Ehsaeyan
doaj
Medical Image Fusion Based on Fast Finite Shearlet Transform and Sparse Representation. [PDF]
Comput Math Methods Med, 2019 Tan L, Yu X.
europepmc +1 more source
Aiding the Digital Mammogram for Detecting the Breast Cancer Using Shearlet Transform and Neural Network [PDF]
Asian Pac J Cancer Prev, 2018 P S, R T.
europepmc +1 more source
Infrared and Visible Image Fusion Based on Different Constraints in the Non-Subsampled Shearlet Transform Domain. [PDF]
Sensors (Basel), 2018 Huang Y, Bi D, Wu D.
europepmc +1 more source