Tomographic image reconstruction is a computationally demanding task, even more so
when advanced models are used to describe a more complete and accurate picture of the …

In this paper, we consider minimizing the L_1/L_2 term on the gradient for a limited-angle
scanning problem in computed tomography (CT) reconstruction. We design a specific …

Grating-based phase-and dark-field-contrast X-ray imaging is a novel technology that aims
to extend conventional attenuation-based X-ray imaging by unlocking two additional …

This paper addresses streak reduction in limited angle tomography. Although the iterative
reweighted total variation (wTV) algorithm reduces small streaks well, it is rather inept at …

Limited-angle computed tomography (CT) reconstruction problem is an ill-posed inverse
problem. Currently, regularized CT reconstructions are usually considered by incorporating …

Sparse-view and limited-angle Computed Tomography (CT) are very challenging problems
in real applications. Due to the high ill-posedness, both analytical and iterative …

In this paper, we study the L 1/L 2 minimization on the gradient for imaging applications.
Several recent works have demonstrated that L 1/L 2 is better than the L 1 norm when …

In this paper, we propose an iterative algorithm for the computed tomography (CT) image
reconstruction from severely under-sampled data. Instead of using ℓ 1-norm sparse …

The exterior problem of computed tomography (CT) is a special imaging modality and it is an
important research issue in Non-Destructive Testing (NDT). In the exterior problem, the …

Tomographic algorithms are often compared by evaluating them on certain benchmark
datasets. For fair comparison, these datasets should ideally (i) be challenging to …