Results 51 to 60 of about 5,751 (196)
ShearLab 3D: Faithful Digital Shearlet Transforms based on Compactly Supported Shearlets [PDF]
, 2014 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 ...
Kutyniok, Gitta +2 more
core +2 more sources
Engineering Reports, Volume 7, Issue 8, August 2025.Railway electrification systems indeed have unique challenges due to variable power demand and dynamic train operations. Power quality (PQ) monitoring for high‐speed trains (HSTs) is essential to guarantee the effectual and unfailing operation of the ESs.
Pampa Sinha +6 more
wiley +1 more source
FAST DISCRETE CURVELET TRANSFORM BASED ANISOTROPIC FEATURE EXTRACTION FOR IRIS RECOGNITION [PDF]
ICTACT Journal on Image and Video Processing, 2010 The feature extraction plays a very important role in iris recognition. Recent researches on multiscale analysis provide good opportunity to extract more accurate information for iris recognition.
Amol D. Rahulkar +2 more
doaj
Global Variational Method for Fingerprint Segmentation by Three-part Decomposition
, 2015 Verifying an identity claim by fingerprint recognition is a commonplace experience for millions of people in their daily life, e.g. for unlocking a tablet computer or smartphone.
Gottschlich, Carsten, Thai, Duy Hoang
core +1 more source
Case Studies in Thermal Engineering, 2020 In order to analyze the flow and heat transfer coupling rules of oil-gas two-phase fluid in clearance of single screw compressor, the fuzzy curvelet finite element model is constructed based on fuzzy theory, curvelet transform and finite element method ...
Bin Zhao +3 more
doaj +1 more source
Enhanced Hardrock Seismic Imaging Through Multi‐Scale Information‐Guided Unsupervised Learning
Journal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 2, June 2025.Abstract In hardrock or crystalline rock geological settings, due to low impedance contrast, reflected energy is usually weak. In addition, often stronger surface waves and noncoherent noise are observed including high‐frequency scattering noise, which seriously covers the useful reflection signal. Therefore, imaging of hardrock seismic data with a low
Liuqing Yang +2 more
wiley +1 more source
, 2012 Anisotropic decompositions using representation systems based on parabolic scaling such as curvelets or shearlets have recently attracted significantly increased attention due to the fact that they were shown to provide optimally sparse approximations of
Grohs, Philipp, Kutyniok, Gitta
core +1 more source
Iris recognition based on generalized Gaussian distribution FDCT_Wrap and FSVM
Dianxin kexue, 2016 In order to improve the accuracy rate of iris recognition,an improved curvelet transform algorithm for iris recognition was proposed.Firstly,the iris image was decomposed with fast discrete curvelet transform by wrapping algorithm.Mean variance and ...
Zhenhong HE
doaj +2 more sources
Recovery of Missing Samples Using Sparse Approximation via a Convex Similarity Measure
, 2017 In this paper, we study the missing sample recovery problem using methods based on sparse approximation. In this regard, we investigate the algorithms used for solving the inverse problem associated with the restoration of missed samples of image signal.
Javaheri, Amirhossein +2 more
core +1 more source
Advanced Materials, Volume 37, Issue 12, March 26, 2025.We leverage the intrinsic optical anisotropy of the Morpho butterfly wing to introduce Morpho‐Enhanced Polarized Light Microscopy (MorE‐PoL), a stain‐ and contact‐free imaging methodology that quantitatively assesses the microstructural properties of fibrous biological tissues.
Paula Kirya +3 more
wiley +1 more source