Low-Dose computed tomography sinogram DE-noising based on joint wavelet and total variation

To reduce noise in low dose Computed tomography (CT) images, this paper proposes an algorithm in which the projection domain de-noising method is combined with wavelet-domain sparsity and total variation (TV) regularization. This approach uses a unified wavelet-TV approach that estimates all wavelet coefficients simultaneously via the minimization of a single objective function with non-convex penalty item. The experimental results demonstrate that the proposed method can significantly improve the quality and preserve the edges of low dose CT images.

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