Fast Discrete Curvelet Transforms [PDF]
Multiscale Modeling & Simulation, 2006 This paper describes two digital implementations of a new mathematical transform, namely, the second generation curvelet transform in two and three dimensions. The first digital transformation is based on unequally spaced fast Fourier transforms, while the second is based on the wrapping of specially selected Fourier samples.
Candès, Emmanuel +3 more
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Recognition of COVID-19 disease from X-ray images by hybrid model consisting of 2D curvelet transform, chaotic salp swarm algorithm and deep learning technique. [PDF]
Chaos Solitons Fractals, 2020 Altan A, Karasu S.
europepmc +2 more sources
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
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A Hybrid Method to Enhance Thick and Thin Vessels for Blood Vessel Segmentation
Diagnostics, 2021 Retinal blood vessels have been presented to contribute confirmation with regard to tortuosity, branching angles, or change in diameter as a result of ophthalmic disease.
Sonali Dash +6 more
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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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A Comparative Study of Shearlet, Wavelet, Laplacian Pyramid, Curvelet, and Contourlet Transform to Defect Detection [PDF]
Journal of Soft Computing in Civil Engineering, 2023 This study presents a new approach based on shearlet transform for the first time to detect damages, and compare it with the wavelet, Laplacian pyramid, curvelet, and contourlet transforms to specify different types of defects in plate structures ...
Sepideh Vafaie, Eysa Salajegheh
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Wavelets and curvelets transform for image denoising to damage identification of thin plate
Results in Engineering, 2023 As a common structural form, thin plates are widely used in civil engineering. Since the thin plate needs to face harsh work conditions, the damage inevitably to be accumulated, thus affecting the stability and safety of the application components ...
Deng Yulong +7 more
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Optical Flow Estimation Based on Curvelet Transform and Spatio-temporal Derivatives [PDF]
Engineering and Technology Journal, 2010 Optical flow estimation is still one of the key problems in computer vision.When estimating the displacement field between two images, it is applied as soonas correspondences between pixels are needed.
Atheer A. Sabri
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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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Applied and Computational Harmonic Analysis, 2005 This paper follows the authors' previous discussion [Appl. Comput. Harmon. Anal. 19, No.~2, 162--197 (2005; Zbl 1086.42022)]. Here they construct the continuous curvelet transform based on a polar parabolic scaling, and give a Parseval identity. After discretization by sampling, they show that the discretized family which is similar to discrete ...
Candès, Emmanuel J., Donoho, David L.
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