Abstract
Based on statistical inference, we propose a new bias field correction model with TGV regularization, which can remove the bias field more effectively. The proposed method takes full advantage of the MRI image feature and the bias field characteristic. The corrupted image can be restored more effectively by the proposed method. For convenience and efficiency of calculation, the splitting method and primal-dual method are employed to solve the proposed model. A number of experiments show the proposed method is more effective than some state-of-the-art methods.
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