"Mathematical imaging, image multifunctions, diagnostically lossless image compression, fractal-based methods of analysis and approximation"

“数学成像、图像多功能、诊断无损图像压缩、基于分形的分析和近似方法”

• 批准号: 106270-2012
• 负责人: Vrscay, Edward
• 金额: $ 1.82万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=593272
• 关键词: Mathematical; imaging; image; multifunctions; diagnostically

Much of my research can be called "mathematical imaging,'' the use of mathematics to develop new methods of image processing or image analysis. One such image processing method, which still receives a great deal of attention, is ''denoising'', the removal of troublesome noise from images (e.g., instrument noise from an MRI).

我的很多研究都可以被称为“数学成像”，即利用数学来开发图像处理或图像分析的新方法。其中一种图像处理方法仍然受到极大的关注，那就是“去噪”，即从图像中去除令人烦恼的噪声(例如，来自磁共振成像的仪器噪声)。