A Penalization Approach for Tomographic Reconstruction of Binary Axially Symmetric Objects

被引：0
作者：
R. Abraham
M. Bergounioux
E. Trélat
机构：
[1] Université d’Orléans,UFR Sciences, Math., Labo. MAPMO, UMR 6628
来源：
Applied Mathematics and Optimization | 2008年 / 58卷
关键词：
Tomography; Optimization; Penalization;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
We propose a variational method for tomographic reconstruction of blurred and noised binary images based on a penalization process of a minimization problem settled in the space of bounded variation functions. We prove existence and/or uniqueness results and derive a penalized optimality system. Numerical simulations are provided to demonstrate the relevance of the approach.
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