Results 51 to 60 of about 2,421 (183)
A self‐supervised scheme for ground roll suppression
Geophysical Prospecting, Volume 72, Issue 7, Page 2580-2598, September 2024.Abstract In recent years, self‐supervised procedures have advanced the field of seismic noise attenuation, due to not requiring a massive amount of clean labelled data in the training stage, an unobtainable requirement for seismic data. However, current self‐supervised methods usually suppress simple noise types, such as random and trace‐wise noise ...
Sixiu Liu +5 more
wiley +1 more source
Analysis of Inpainting via Clustered Sparsity and Microlocal Analysis [PDF]
, 2012 Recently, compressed sensing techniques in combination with both wavelet and directional representation systems have been very effectively applied to the problem of image inpainting.
King, Emily J. +2 more
core
Light Field Reconstruction Using Shearlet Transform [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018 12 pages, 11 ...
Suren Vagharshakyan +2 more
openaire +5 more sources
In vivo T2 measurements of the fetal brain using single‐shot fast spin echo sequences
Magnetic Resonance in Medicine, Volume 92, Issue 2, Page 715-729, August 2024.Abstract Purpose We propose a quantitative framework for motion‐corrected T2 fetal brain measurements in vivo and validate the single‐shot fast spin echo (SS‐FSE) sequence to perform these measurements. Methods Stacks of two‐dimensional SS‐FSE slices are acquired with different echo times (TE) and motion‐corrected with slice‐to‐volume reconstruction ...
Suryava Bhattacharya +11 more
wiley +1 more source
, 2009 Die Themen dieser Dissertation sind die notwendigen und die hinreichenden Bedingungen fuer die Frameeigenschaft in L^2(R^2) bei irregulren Shearlet-Systemen. Zu diesem Zweck fuehren wir die Konzepte der Dichte irregulaerer Shearlet-Systeme ein, die als geeignete Ansaetze zum Erkennen der Verbindung zwischen der Geometrie diskreter, mit den irregulren ...
Kittipoom, Pisamai +1 more
openaire +3 more sources
IET Image Processing, Volume 18, Issue 8, Page 2114-2125, 19 June 2024.This paper introduces a novel infrared and visible image fusion network to address the limitations of auto‐encoder fusion networks. In the designed network, the encoder employs a multi‐branch cascade structure with convolution kernels of different sizes to extract multi‐scale features, and the fusion layer incorporates a non‐local attention module ...
Jing Xu, Zhenjin Liu, Ming Fang
wiley +1 more source
IET Image Processing, Volume 18, Issue 5, Page 1358-1372, 17 April 2024.An adaptive neuro‐fuzzy inference system is presented based on an optimization of genetic algorithm to classify normal and abnormal brain tumours. Abstract An adaptive neuro‐fuzzy inference system is presented which is optimized by a genetic algorithm to classify normal and abnormal brain tumours.
Marzieh Ghahramani, Nabiollah Shiri
wiley +1 more source
Deep learning‐based methods for detecting defects in cast iron parts and surfaces
IET Image Processing, Volume 18, Issue 1, Page 47-58, 10 January 2024.First, this article used multiple data augmentation methods to alleviate the problem of small sample size in casting datasets. Second, attention mechanism was introduced. Finally, a novel feature fusion layer structure was adopted to improve the original network model.
Pengyu Wang, Peng Jing
wiley +1 more source
Shearlets on Bounded Domains [PDF]
, 2011 Shearlet systems have so far been only considered as a means to analyze $L^2$-functions defined on $\R^2$, which exhibit curvilinear singularities. However, in applications such as image processing or numerical solvers of partial differential equations the function to be analyzed or efficiently encoded is typically defined on a non-rectangular shaped ...
Kutyniok, Gitta, Lim, Wang-Q
openaire +2 more sources
mBCCf: Multilevel Breast Cancer Classification Framework Using Radiomic Features
International Journal of Intelligent Systems, Volume 2024, Issue 1, 2024.Breast cancer characterization remains a significant and challenging issue in contemporary medicine. Accurately distinguishing between malignant and benign breast lesions is crucial for effective diagnosis and treatment. The anatomical structure of malignant breast ultrasound images is more chaotic than that of benign images due to disease pathologies.
Lipismita Panigrahi +6 more
wiley +1 more source