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.

Snyder这项研究的目标是：1。改进的图像恢复算法来处理随机反问题； 2。评估产生图像的质量的方法； 3。并行实施所得算法的策略。 主要的重点是在诸如成像外太空中微弱的物体和人体组织中成像放射性浓度等多种应用中产生的量子限制数据。