We develop a new denoising algorithm for CT projections.
The proposed algorithms includes regularizations in terms of gradient and Hessian.
We suggest solving the problem using a split Bregman iteration.
We apply the proposed algorithm on simulated and real noisy CT projections.
Our algorithm effectively suppresses noise and improves spatial resolution.