CAREER: A New Statistical Framework for Natural Images with Applications in Vision

职业：一种新的自然图像统计框架及其在视觉中的应用

• 批准号: 0953373
• 负责人: Siwei Lyu
• 金额: $ 49.96万
• 依托单位: SUNY at Albany
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-06-01 至 2016-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0953373&HistoricalAwards=false
• 关键词: CAREER; New; Statistical; Framework; Natural

This project studies natural image statistics, and their applications in diverse fields such as computational neuroscience, image processing, computer vision, and graphics. The centerpiece of this project is a new image representation based on a simple nonlinear transform that is statistically justified and biologically inspired. This representation provides a new language to describe image signals, and forms the basis to build statistical models to more effectively capture statistical properties of natural image. Built upon this new image representation, this project explores new paradigms to model and interpret visual neural responses and high-level perceptual properties, and provides new tools for image restoration, analysis and synthesis. On the other hand, by applying natural image statistics to the forensic analysis of digital images, this project facilitates forensic practitioners in criminal investigations, and contributes to national security and public safety. Moreover, this project contributes to education by making the learning of Computer Science fun and useful for undergraduate students, promoting the participation of women and undergraduate students in research, and improving the early learning of mathematics and sciences for local high school students.

该项目研究自然图像统计及其在计算神经科学、图像处理、计算机视觉和图形等不同领域的应用。该项目的核心是基于简单的非线性变换的新图像表示，该变换在统计上是合理的并且受到生物学启发。这种表示形式提供了一种新的语言来描述图像信号，并构成了构建统计模型的基础，以更有效地捕获自然图像的统计特性。基于这种新的图像表示，该项目探索了建模和解释视觉神经反应和高级感知特性的新范例，并提供了用于图像恢复、分析和合成的新工具。另一方面，通过将自然图像统计应用于数字图像的取证分析，该项目为法医从业者进行刑事调查提供便利，为国家安全和公共安全做出贡献。此外，该项目还通过使本科生学习计算机科学变得有趣和有用、促进女性和本科生参与研究以及改善当地高中生数学和科学的早期学习来为教育做出贡献。