Optical Acquisition, Image and Data Compression

Abstract

A new conditional symbolic substitution rule for modified signed- digit arithmetic computation is introduced. Using this substitution rule, the numbers to be added or subtracted are first replaced by a pair of new equivalent strings, which in a second step are then subject to another substitution to generate both the addition or substitution result and its complement. For an optical implementation, a holographic content-addressable memory is used. Correspondingly, the input encoding, the logic reduction, and the optical processing techniques are described. An optical isochronous array processing method is proposed. An optical isochronous array processor (OIAP) is a local regularly interconnected processing network that employs an array of identical processing elements. In an OIAP, incoming, isochronous data are parallel processed in a fashion much like a propagating electromagnetic wavefront. For the various applications, the OIAP processing elements and their interconnections can be different. In this paper, various all-optical OIAP elements are considered. Applications ranging from optical binary number multiplication preprocessing to optical matrix algebra as well as to optical residue arithmetic are presented.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jul 30, 1988
Accession Number
ADA199993

Entities

People

  • George Eichmann

Organizations

  • City College of New York

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Computational Science
  • Computer Languages
  • Computer Programming
  • Computer Vision
  • Computers
  • Content Addressable Memory
  • Detectors
  • Image Processing
  • Information Processing
  • Information Science
  • Laser Pulses
  • Optics
  • Parallel Computing
  • Pattern Recognition
  • Two Dimensional
  • Wave Mixing

Fields of Study

  • Physics

Readers

  • Computer Programming and Software Development.
  • Image Processing and Computer Vision.