Results 11 to 20 of about 2,777 (169)
The curvelet transform for image denoising [PDF]
IEEE Transactions on Image Processing, 2002 We describe approximate digital implementations of two new mathematical transforms, namely, the ridgelet transform and the curvelet transform. Our implementations offer exact reconstruction, stability against perturbations, ease of implementation, and low computational complexity.
Starck, Jean-Luc +2 more
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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
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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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Accounting for observation errors in image data assimilation [PDF]
Tellus: Series A, Dynamic Meteorology and Oceanography, 2015 This paper deals with the assimilation of image-type data. Such kinds of data, such as satellite images, have good properties (dense coverage in space and time), but also one crucial problem for data assimilation: they are affected by spatially ...
Vincent Chabot +3 more
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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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, 2009 Glossary WT1D The one-dimensional Wavelet Transform as defined in [1]. See also [2] in this volume. WT2D The two-dimensional Wavelet Transform. Discrete Ridgelet Trasnform (DRT) The discrete implementation of the continuous Ridgelet transform. Fast Slant Stack (FSS) An algebraically exact Radon transform of data on a Cartesian grid.
Fadili, Jalal M., Starck, Jean-Luc
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Variational Multiscale Nonparametric Regression: Algorithms and Implementation
Algorithms, 2020 Many modern statistically efficient methods come with tremendous computational challenges, often leading to large-scale optimisation problems. In this work, we examine such computational issues for recently developed estimation methods in nonparametric ...
Miguel del Alamo +3 more
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BioTechniques, 2009 Cell migration plays a major role in development, physiology, and disease, and is frequently evaluated in vitro by the monolayer wound healing assay. The assay analysis, however, is a time-consuming task that is often performed manually.
Tobias Gebäck +3 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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Recovering edges in ill-posed inverse problems: optimality of curvelet frames [PDF]
, 2002 We consider a model problem of recovering a function $f(x_1,x_2)$ from noisy Radon data. The function $f$ to be recovered is assumed smooth apart from a discontinuity along a $C^2$ curve, that is, an edge.
Candès, Emmanuel J., Donoho, David L.
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