Diagonal Total Variation Regularization Criterion for Fast Convergence
The total variation (TV) regularization method is very attractive for various image processing applica tions. In order to apply the TV approach to motion pic tures, it is required to reduce the computational time of the iterative signal processing of the TV regularization. In this paper, we propose the diagonal TV criterion in stead of conventional isotropic or anisotropic TV crite ria. The experimental results show that we can obtain almost half of the iteration number both in the steepest descent algorithm and Chambolle’s algorithm by utiliz ing the diagonal TV compared with the conventional TV criteria.
Satoshi Kiriyama omoyuki Usui Tomio Gotoy Satoshi Hirano Masaru Sakuraiy kahiro Saito
Department of Electrical and Electronic Engineering, Nagoya Institute of Technology,Nagoya, Japan Department of Electronics and Informatics Frontiers, Kanagawa University,Yokohama, Japan
国际会议
上海
英文
1494-1498
2010-10-20（万方平台首次上网日期，不代表论文的发表时间）