Integrated Spectral Low Noise Image Sensor with Nanowire Polarization Filters for Low Contrast Imaging

Abstract

The research objective for this proposal is to develop a comprehensive program that will investigate and develop low noise imaging sensors capable of recording spectral and polarization information on the same chip and at the focal plane. I will use existing imaging sensor technology capable of recording spectral information, such as the Foveon X3 image sensor with vertically stacked photodiodes, as well as investigate alternative spectral imaging architectures based on my previous experience in this research area. I will develop nanowire polarization filters and investigate their integration with the spectral image sensors. In addition, I will investigate image processing algorithms that will take advantage of the spectral-polarimetric imaging sensor architecture and enable these sensors to be used for variety of applications that require real-time image processing. I will also investigate basic relationships between spectral and polarization information with intrinsic properties of objects, such as shape and material properties. I am proposing a comprehensive research program spanning several key areas: 1. Investigate the design and fabrication of a novel custom made imaging sensor with focal plane spectral detection capabilities.

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Document Details

Document Type
Technical Report
Publication Date
Nov 05, 2015
Accession Number
AD1000412

Entities

People

  • Viktor Gruev

Organizations

  • Washington University in St. Louis

Tags

Communities of Interest

  • Advanced Electronics
  • Biomedical
  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Computer Science
  • Detection
  • Detectors
  • Focal Planes
  • Gaussian Processes
  • High Resolution
  • Image Processing
  • Linear Polarization
  • Low Noise
  • Measurement
  • Optical Properties
  • Optics
  • Polarization
  • Quantum Efficiency
  • Scientific Research
  • Visible Spectra

Fields of Study

  • Physics

Readers

  • Image Processing and Computer Vision.
  • Research Science/Academic Research

Technology Areas

  • Directed Energy