TY - JOUR
T1 - Second-Order Total Variation and Primal-Dual Algorithm for CT Image Reconstruction
AU - S.-S. Luo, Q. Lv, H.-S. Chen & J.-P. Song
JO - International Journal of Numerical Analysis and Modeling
VL - 1
SP - 76
EP - 87
PY - 2016
DA - 2016/01
SN - 14
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/ijnam/411.html
KW - CT image reconstruction, regularization method, second-order total variation, primal-dual algorithm.
AB - <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>