Results 41 to 50 of about 14,271,610 (145)
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
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
Resolution of the wavefront set using continuous shearlets [PDF]
, 2006 It is known that the Continuous Wavelet Transform of a distribution f decays rapidly near the points where f is smooth, while it decays slowly near the irregular points. This property allows the identification of the singular support of f.
Gitta Kutyniok, D. Labate
semanticscholar +1 more source
Shearlets and Optimally Sparse Approximations
, 2011 Multivariate functions are typically governed by anisotropic features such as edges in images or shock fronts in solutions of transport-dominated equations.
DL Donoho +12 more
core +1 more source
, 2014 The aim of this report is a self-contained overview on shearlets, a new multiscale method emerged in the last decade to overcome some of the limitation of traditional multiscale methods, like wavelets.
Bubba, Tatiana Alessandra
core
Good group sparsity prior for light field interpolation
International Conference on Information Photonics, 2017 A light field, which is equivalent to a dense set of multi-view images, has various applications such as depth estimation and 3D display. One of the essential problems is light field interpolation, which is obtaining sufficiently dense views from sparser
Keita Takahashi, Shu Fujita, T. Fujii
semanticscholar +1 more source
A Medical Image Denoising Method using Subband Adaptive Thresholding Based on a Shearlet Transform [PDF]
, 2016 The image denoising process is of great importance when analyzing images and their visualization. A major problem is finding the boundary between clearing the noise and keeping the salient features in the images.
Petrov, Miroslav
core
Embeddings of Decomposition Spaces into Sobolev and BV Spaces
, 2016 In the present paper, we investigate whether an embedding of a decomposition space $\mathcal{D}\left(\mathcal{Q},L^{p},Y\right)$ into a given Sobolev space $W^{k,q}(\mathbb{R}^{d})$ exists.
Voigtlaender, Felix
core
Constructing Multiwavelet-based Shearlets and using Them for Automatic Segmentation of Noisy Brain Images Affected by COVID-19. [PDF]
J Med Signals Sens, 2023 Aghazadeh N, Moradi P, Noras P.
europepmc +1 more source