Multi-bang Regularisation and Applications

多爆炸正则化及其应用

• 批准号: 1916298
• 金额: --
• 依托单位: University of Manchester
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-1916298
• 关键词: Multi; bang; Regularisation; Applications

The goal of the project will be to study so-called multi-bang regularisation methods for imaging problems in which the image is known to only take on a finite number of possible values. The student will consider both theoretical questions related to convergence of algorithms, as well as practical applications. Initial focus areas will be the combination of total-variation regularisation with multi-bang, and application to the emission tomography problem.

该项目的目标将是研究所谓的多bang正则化方法，用于已知图像只具有有限数量的可能值的成像问题。学生将考虑与算法收敛相关的理论问题，以及实际应用。最初的重点领域将是将全变差正则化与多bang相结合，并应用于发射层析成像问题。

项目成果

SPECT with a multi-bang assumption on attenuation

• DOI: 10.1088/1361-6420/abab59
• 发表时间: 2020-07
• 期刊: Inverse Problems
• 影响因子: 2.1
• 作者: S. Holman;Philip Richardson