Jinyao Yang

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The traditional denoising algorithm for ultrasound images would lost a lot of details and weak edge information when suppressing speckle noise. A new denoising algorithm of adaptive threshold based on curvelet transform is proposed in this paper. The algorithm utilizes differences of coefficients' local variance between texture and smooth region in each(More)
In ultrasound imaging, it is usually needed to zoom in the B-mode image with high resolution. Therefore, a novel ultrasound image super-resolution zooming algorithm based on sparse representation was introduced in this paper. Sparse representation can achieve super-resolution reconstruction as long as the signal is sparse in certain dictionary. Simulation(More)
The traditional geodesic active model with edge(C-V Model) can deal with topological change automatically. But C-V Model is sensitive to noise and inaccurate positioning of the edges in an image. This paper proposes a C-V model based on an improved Gaussian Laplace operator (LOG). The improved Gaussian Laplace operator can enhance the accuracy of the edge(More)
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