Optoelectronic Computer Architecture Development for Image Reconstruction

Abstract

Shear layer turbulence near the surface of an aircraft causes degradation to image quality for onboard imaging sensors looking through this layer. Real time correction of these images for immediate use by the operators or onboard electronics is of interest. This effort addressed the development of high speed computational hardware that can perform image reconstruction using turbulence characteristic data. Specifically, we collaborated with UCSD and ERIM on the development of an optically augmented electronic computer for high speed inverse transform calculations to enable real time image reconstruction. The joint effort included FFT algorithm assessment and mapping considerations for optically interconnected and enhanced computer architectures (such as the Hughes 3-D computer and possibly multiple FFT/DSP modules). as well as the development (by UCSD) of optical interconnect hardware, The phase diverse speckle imaging approach developed by the ERIM team was the primary focus of algorithm assessments. Based on projections using next generation DSP and FFT chips, the phase diverse speckle approach was estimated to provide a potential for approximately 30 Hz image reconstruction with 256x256 images.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1996
Accession Number
ADA329541

Entities

People

  • Richard Forber
  • Uzi Efron

Organizations

  • HRL Laboratories

Tags

Communities of Interest

  • Advanced Electronics
  • Human Systems
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Acquisition
  • Algorithms
  • Computer Architecture
  • Computers
  • Computing System Architectures
  • Data Acquisition
  • Demographic Cohorts
  • Digital Signal Processing
  • Image Processing
  • Image Reconstruction
  • Image Restoration
  • Optical Interconnects
  • Parallel Processors
  • Teamwork
  • Three Dimensional
  • Turbulence
  • Turbulent Mixing

Fields of Study

  • Physics

Readers

  • Computer Vision.
  • Image Processing and Computer Vision.
  • Integrated Circuit Design and Technology.

Technology Areas

  • Microelectronics
  • Microelectronics - Microelectromechanical Systems