“…For future directions, we are interested in other nonconvex regularization, such as ℓ 1 /ℓ 2 on the gradient (Wang et al, 2021(Wang et al, , 2022Wu et al, 2022a), ℓ p , 0 < p < 1, on the gradient (Hintermüller and Wu, 2013;Li Y. et al, 2020;Wu et al, 2021b), and transformed total variation (Huo et al, 2022), as alternatives to AITV. On the other hand, we can develop AITV variants of weighted TV or adaptive TV (Wu et al, 2021a; Zhang et al, 2022). Moreover, we plan to determine how to make the sparsity parameter α in AITV adaptable to each image.…”