Results 91 to 100 of about 5,751 (196)
Image Decomposition and Separation Using Sparse Representations: An Overview [PDF]
, 2010 This paper gives essential insights into the use of sparsity and morphological diversity in image decomposition and source separation by reviewing our recent work in this field.
Bobin, Jérôme +3 more
core
Extended object reconstruction in adaptive-optics imaging: the multiresolution approach
, 2012 We propose the application of multiresolution transforms, such as wavelets (WT) and curvelets (CT), to the reconstruction of images of extended objects that have been acquired with adaptive optics (AO) systems.
Gallé, Roberto Baena +2 more
core +1 more source
CURVELET-BASED FREQUENCY-AWARE FEATURE ENHANCEMENT FOR DEEPFAKE DETECTION
Science Journal of University of ZakhoThe proliferation of sophisticated generative models has significantly advanced the realism of synthetic facial content, known as deepfakes, raising serious concerns about digital trust.
Salar Adel Sabri, Ramadhan J Mstafa
doaj +1 more source
An efficient medical image watermarking scheme based on FDCuT–DCT
Engineering Science and Technology, an International Journal, 2017 In this paper, a blind medical image watermarking scheme based on Fast Discrete Curvelet Transform (FDCuT) and Discrete Cosine Transform (DCT) is proposed.
Rohit Thanki +3 more
doaj +1 more source
Automatic Choroidal Segmentation in Optical Coherence Tomography Images Based on Curvelet Transform and Graph Theory. [PDF]
J Med Signals Sens, 2023 Eghtedar RA +4 more
europepmc +1 more source
, 2003 Energized by the success of wavelets, the last two decades saw the rapid development of a new field, computational harmonic analysis, which aims to develop new systems for effectively representing phenomena of scientific interest.
Candès, Emmanuel J.
core +1 more source
Cardiac events detection using curvelet transform
Sādhanā, 2019 Cardiac event detection is one of the essential steps in cardiac signal processing, analysis and disease diagnosis. Complete morphology of cardiac waves (P–QRS–T) extracted from the location of R-peak is helpful for feature extraction of many applications related to cardiac diseases classification.
ALKA BARHATTE +2 more
openaire +2 more sources
CURVELET BASED SATELLITE IMAGE NATURAL RESOURCE CLASSIFICATION SYSTEM USING ELM
ICTACT Journal on Image and Video Processing, 2018 Remote sensing is one of the hottest topics of research, which intends to study or analyze a particular object in the topographic map. The monitoring and management is possible when it is possible to differentiate the objects in the satellite image ...
Anita Dixit +2 more
doaj +1 more source
Curvelet Transform-Based Sparsity Promoting Algorithm for Fast Ultrasound Localization Microscopy. [PDF]
IEEE Trans Med Imaging, 2022 You Q +8 more
europepmc +1 more source
ShearLab: A Rational Design of a Digital Parabolic Scaling Algorithm [PDF]
, 2011 Multivariate problems are typically governed by anisotropic features such as edges in images. A common bracket of most of the various directional representation systems which have been proposed to deliver sparse approximations of such features is the ...
Gitta Kutyniok +4 more
core +1 more source