Local spatio-temporal representation using the 3D shearlet transform
, 2017 In this work we address the problem of analyzing video sequences and representing meaningful space-time points of interest. We base our work on the 3D shearlet transform.
Odone, Francesca +5 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
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
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
Defect Detection in Magnetic Tile Images Based on Non-subsampled Shearlet Transform
工程科学与技术, 2017 :A novel surface defect detection method based on non-subsampled shearlet transform (NSST) was proposed for detecting defects with random noise,low contrast,uneven background and regularly distributed grinding texture in magnetic tile surface images.The ...
YANG Chengli +4 more
doaj
A novel glomerular basement membrane segmentation using neutrsophic set and shearlet transform on microscopic images. [PDF]
Health Inf Sci Syst, 2017 Guo Y, Ashour AS, Sun B.
europepmc +1 more source
Improved Radon Based Imaging using the Shearlet Transform
, 2014 Many imaging modalities, such as Synthetic Aperture Radar (SAR), can be described mathematically as collecting data in a Radon transform domain. The process of inverting the Radon transform to form an image can be unstable when the data collected contain
Demetrio Labate C +2 more
core
Microscopic medical image classification framework via deep learning and shearlet transform. [PDF]
J Med Imaging (Bellingham), 2016 Rezaeilouyeh H +2 more
europepmc +1 more source