In the past decades, exactly recovering the intrinsic data structure from corrupted observations, which is known as robust principal component analysis (RPCA), has attracted tremendous interests and found many applications in computer vision. Recently, this problem has been formulated as recovering a low-rank component and a sparse component from the observed data matrix. It is proved that unde...

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