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We propose two near real-time nonlinear anisotropic diffusion filtering (NADF) methods for the 2D and 3D X-ray computed tomography (CT) and magnetic resonance (MR) image denoising. Typically, NADFs are preferred for the medical image denoising due to its edge preserving feature though they are computationally expensive. Recently, a computation-time efficient 2D NADF has been proposed which uses local...
In this paper, we propose a novel data reconstruction method for the compressively sensed ultrasound radio-frequency (RF) data using the combined curvelets- and wave atoms- (CCW) based orthonormal basis. Typically, the curvelets-based reconstruction better preserves the image features while the wave atoms-based reconstruction better preserves the oscillatory patterns of the typical ultrasound RF signals...
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