Nonlocal Variational Processing of Image Albums

图像相册的非局部变分处理

• 批准号: 0714087
• 负责人: Stanley Osher
• 金额: --
• 依托单位: University of California-Los Angeles
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-07-15 至 2011-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0714087&HistoricalAwards=false
• 关键词: Nonlocal; Variational; Processing; Image; Albums

The proposed activity is targeted to present a very general regularization framework. It enhances the processing of sets of signals and images using variational techniques. The key idea is to exploit information from the entire set for the regularization of each image. This is done via a non-parametric variational approach.This framework can improve image and signal processing techniques for many types of data-sets.Sets which contain many repetitions of similar objects or patterns are expected to gain considerable performance. Such data-sets are common in many diverse fields. The new method is anticipated to have a significant contribution in the analysis of medical images, the enhancement of aerial and satellite imagery, and in processing biological signals and genetic data.

提议的活动旨在提出一个非常通用的正则化框架。它增强了用变分技术处理一系列信号和图像的能力。关键思想是利用整个集合中的信息对每个图像进行正则化。这是通过非参数变分方法完成的。该框架可以改进许多类型数据集的图像和信号处理技术。包含许多相似对象或模式重复的集合有望获得相当大的性能。这样的数据集在许多不同的领域都很常见。预计新方法将在分析医学图像、增强航空和卫星图像以及处理生物信号和遗传数据方面作出重大贡献。