报告人： 曾铁勇 副教授 （香港中文大学）
报告摘要：Generally, these images can be considered as a pair of images representing the real and imaginary components of the complex array. For clinical analysis, the magnitude MR image is produced to reduce these two images. In addition, the magnitude MR image can avoid the problem of phase artifacts by deliberately discarding the phase information To reconstruct the real and Imaginary images from the acquired data, we use the complex Fourier transform. Since the Fourier transform is a linear and orthogonal transform, during this process, the real and imaginary images are unavoidably corrupted by Gaussian noise. The goal of our work is to design a new reasonable and simple convex model for Rician noise removal.