Results 11 to 20 of about 1,159 (170)
Measured multi-source semi-supervised working condition recognition based on curvelet pooling and attention mechanism learning [PDF]
Scientific ReportsTo identify various oil well working conditions more accurately and practically from massive image data collected by multiple measured information sources of sucker-rod pumping wells, this paper proposes a working condition recognition method with three ...
Shuo Yang +3 more
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A Mosaic Method for Side-Scan Sonar Strip Images Based on Curvelet Transform and Resolution Constraints [PDF]
Sensors, 2021 Due to the complex marine environment, side-scan sonar signals are unstable, resulting in random non-rigid distortion in side-scan sonar strip images. To reduce the influence of resolution difference of common areas on strip image mosaicking, we proposed
Ning Zhang +4 more
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Hybrid Radiomics and Machine Learning for Brain Tumors Multi-Task Classification: An Exploratory Study on Integrating GLCM and Curvelet-Based Features for Enhanced Accuracy. [PDF]
Health Sci RepABSTRACT Background and Aims Accurate classification of brain tumors is vital for effective treatment planning. Manual assessment of magnetic resonance imaging (MRI) scans is often subjective and time‐consuming. This exploratory study proposes a machine learning approach integrating radiomic features from contrast‐enhanced T1‐weighted MRI scans to ...
Jafari M +6 more
europepmc +2 more sources
Migration preconditioning with Curvelets [PDF]
SEG Technical Program Expanded Abstracts 2004, 2004 In this paper, the property of Curvelet transforms for preconditioning the migration and normal operators is investigated. These operators belong to the class of Fourier integral operators and pseudo-differential operators, respectively. The effect of this preconditioner is shown in term of improvement of sparsity, convergence rate, number of iteration
Moghaddam, Peyman P., Herrmann, Felix J.
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Undergrowth Collagen Fibers Analysis by Fingerprint Enhancement Method. [PDF]
Biol CellCollagen fibers detected and analysed by the fingerprint enhancement algorithm. ABSTRACT Collagen is a key protein in mammals that maintains structural integrity within tissues. A failure in fibrillar collagen reorganization can induce cancer or fibrosis formation, such as in spinal cord injury (SCI), where the healing process after the initial trauma ...
Manesco C +6 more
europepmc +2 more sources
Reconstruction of seismic data based on SFISTA and curvelet transform
Frontiers in Earth Science, 2023 In seismic data processing, the reconstruction and interpolation of missing traces are essential tasks. To overcome the limitations of irregularly sampled seismic data, this paper proposes a seismic data interpolation method combining the smoothing fast ...
Lin Tian, Lin Tian, Si Qin
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Cartoon Approximation with $$\alpha $$ α -Curvelets [PDF]
Journal of Fourier Analysis and Applications, 2015 It is well-known that curvelets provide optimal approximations for so-called cartoon images which are defined as piecewise $C^2$-functions, separated by a $C^2$ singularity curve. In this paper, we consider the more general case of piecewise $C^\beta$-functions, separated by a $C^\beta$ singularity curve for $\beta \in (1,2]$.
Grohs, Philipp +3 more
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Image Variational Denoising Using Gradient Fidelity on Curvelet Shrinkage
EURASIP Journal on Advances in Signal Processing, 2010 A new variational image model is presented for image restoration using a combination of the curvelet shrinkage method and the total variation (TV) functional.
Liang Xiao +2 more
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An Intertwining of Curvelet and Linear Canonical Transforms
Journal of Mathematics, 2020 In this article, we introduce a novel curvelet transform by combining the merits of the well-known curvelet and linear canonical transforms. The motivation towards the endeavour spurts from the fundamental question of whether it is possible to increase ...
Azhar Y. Tantary, Firdous A. Shah
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Curvelet Denoising of 4D Seismic [PDF]
66th EAGE Conference & Exhibition, 2004 With burgeoning world demand and a limited rate of discovery of new reserves, there is increasing impetus upon the industry to optimize recovery from already existing fields. 4D, or time-lapse, seismic imaging is an emerging technology that holds great promise to better monitor and optimise reservoir production. The basic idea behind 4D seismic is that
Bayreuther, Moritz +2 more
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