CIF - Small: High Resolution Computational Imaging with Motion in Spatially Varying Fields

CIF - 小：空间变化场中运动的高分辨率计算成像

• 批准号: 1618908
• 负责人: Kevin Webb
• 金额: $ 49.72万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-07-15 至 2022-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1618908&HistoricalAwards=false
• 关键词: CIF; Small; Resolution; Computational; Imaging

Basic questions about optical information in the presence of scatter, and more specifically, related to object motion in spatially varying electromagnetic fields, is being addressed. Light provides key information through spectroscopy, paramount in human health applications, and allows for high-resolution imaging. However, random optical scatter due to tissue, for example, can obfuscate an object of interest. Such random scatter produces speckle, the granular nature of light seen when a laser pointer scatters from a rough surface. A new computational imaging method is being developed to image hidden objects based on motion in such structured fields. With control over laser illumination and precise motion, far-subwavelength feature information can be obtained. This understanding is being developed into a high resolution computational imaging approach, critical in a variety of applications.One aspect of this project involves the use of optical speckle correlations over object position or as a function of time for imaging through or within a heavily scattering medium at potentially wavelength scale resolution. The goal of this project is to take the initial presentation of this concept to a practical computational imaging modality. Measured laser speckle images with example scattering media, representative of several centimeters of tissue, are being used with various levels of understanding about the moving objects. The other direction is to develop a computational method to determine if a small object is present by precisely scanning a sample in a spatially varying field established by two or more laser beams. A key application is to determine whether a defect exists in a semiconductor material system. More generally, opportunities for far-subwavelength optical imaging based on motion in structured illumination is being pursued.

在散射的存在下，光学信息的基本问题，更具体地说，有关物体在空间变化的电磁场运动，正在解决。光通过光谱学提供关键信息，这在人类健康应用中至关重要，并允许高分辨率成像。然而，例如，由于组织引起的随机光学散射可能使感兴趣的对象模糊。这种随机散射会产生斑点，这是激光笔从粗糙表面散射时看到的光的颗粒性质。一种新的计算成像方法正在开发中的图像隐藏的对象在这样的结构化领域的运动的基础上。通过控制激光照明和精确运动，可以获得远亚波长特征信息。这种理解正在发展成为一种高分辨率的计算成像方法，在各种应用中至关重要，这个项目的一个方面涉及到使用光学散斑相关的对象位置或作为一个函数的时间成像通过或在一个严重散射介质在潜在的波长尺度分辨率。该项目的目标是将这一概念的初步介绍应用于实际的计算成像模式。测量的激光散斑图像与示例散射介质，代表几厘米的组织，正在使用各种水平的理解有关的移动对象。另一个方向是开发一种计算方法，通过在由两个或多个激光束建立的空间变化场中精确扫描样品来确定是否存在小物体。一个关键应用是确定半导体材料系统中是否存在缺陷。更一般地，正在寻求基于结构化照明中的运动的远亚波长光学成像的机会。