Stochastic Inverse Problems for Computational Imaging

计算成像的随机反问题

• 批准号: 9101991
• 负责人: Donald Snyder
• 金额: $ 30.09万
• 依托单位: Washington University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-09-01 至 1995-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9101991&HistoricalAwards=false
• 关键词: Stochastic; Inverse; Problems; Computational; Imaging

Snyder The goals of this research are the development of: 1. improved image restoration algorithms for dealing with stochastic inverse problems; 2. methods for assessing the quality of the images which are produced; and 3. strategies for parallel implementation of the resulting algorithms. The primary focus is on quantum-limited data which arises in such diverse applications as imaging faint objects in outer space and imaging radioactivity concentrations within human tissue.

本研究的目标是发展：1。改进的随机逆问题图像恢复算法2. 评估所产生的图像质量的方法；和3。结果算法的并行实现策略。主要的焦点是量子有限的数据，这些数据出现在诸如成像外层空间中的微弱物体和成像人体组织内的放射性浓度等各种应用中。