@Article{IJNAM-14-76,
author = {S.-S. Luo, Q. Lv, H.-S. Chen and J.-P. Song},
title = {Second-Order Total Variation and Primal-Dual Algorithm for CT Image Reconstruction},
journal = {International Journal of Numerical Analysis and Modeling},
year = {2016},
volume = {14},
number = {1},
pages = {76--87},
abstract = {<p style="text-align: justify;">In this paper, we proposed a regularization model based on second-order total variation
for CT image reconstruction, which could eliminate the &#39;staircase&#39; caused by total variation (TV)
minimization. Moreover, some properties of second-order total variation were investigated, and
a primal-dual algorithm for the proposed model was presented. Some numerical experiments for
various projection data were conducted to demonstrate the efficiency of the proposed model and
algorithm.</p>},
issn = {2617-8710},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/ijnam/411.html}
}