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Curvelets–A Surprisingly Effective Nonadaptive Representation For Objects with Edges
Curvelets Nonadaptive Representation Objects with Edges
2015/6/17
It is widely believed that to efficiently represent an otherwise smooth object with discontinuities along edges, one must use an adaptive representation that in some sense ‘tracks’ the shape of the di...
Curvelets and Reconstruction of Images from Noisy Radon Data
Ill-Posed Inverse Problems Regularization Singular Value Decomposition Radon Transform Deconvolution Edge Edge-Preserving Regularization Wavelet-Vaguelette-Decomposition
2015/6/17
The problem of recovering an input signal from noisy and linearly distorted data arises in many different areas of scientific investigation; e.g., noisy Radon inversion (tomography) is a problem of sp...
Curvelets,Multiresolution Representation, and Scaling Laws
Edges Partitioning Subband Filtering Local Fourier Transform Ridge functions Ridgelets Multiscale ridgelets Pyramids
2015/6/17
Curvelets provide a new multiresolution representation with several features that set them apart from existing representations such as wavelets, multiwavelets, steerable pyramids, and so on. They are ...