An efficient, double-precision implementation of the Fast Discrete Curvelet Transform (FDCT) developed by Candès, Demanet, Donoho, and Ying, using the wrapping approach. The implementation is ported ...
Abstract: The curvelet transform has received more and more attention in recent years due to its unique characteristics. This new mathematic transform is based on the Fourier transform, wavelet ...
Abstract: Multiresolution methods are deeply related to image processing, biological and computer vision, and scientific computing. The curvelet transform is a multiscale directional transform that ...
Compressed sensing(CS) has been well applied to speed up imaging by exploring image sparsity over predefined basis functions or learnt dictionary. Firstly, the sparse representation is generally ...
Flow fields in cerebral aneurysms can be measured in vivo with phase-contrast MRI (4D Flow MRI), providing 3D anatomical magnitude images as well as 3-directional velocities through the cardiac cycle.
Title Automatic detection of the ice edge in SAR imagery using curvelet transform and active contour ...
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