Research in Data Compression for Microwave Imagery and Its Effect Upon Image Quality

Abstract

In microwave imaging, aperture data are digitized, while system performance is determined by the quality of the image, which is usually a Fourier Transform of the aperture data. This research develops a methodology for finding a quantizer in the aperture domain which optimizes an image plane quality criterion. For amplitude-phase quantization of complex data, a novel optimality criterion is posed which leads to a new and simpler optimal quantizer design. Keywords: Data compression, Microwave imagery, Image quality, and Optical quantizer design.

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Document Details

Document Type
Technical Report
Publication Date
Nov 11, 1988
Accession Number
ADA202254

Entities

People

  • Bernard Steinbert
  • Stanislav Kesler
  • Zhongjie Liang

Organizations

  • Moore School of Electrical Engineering

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Amplitude
  • Antenna Arrays
  • Arrays
  • Computer Programs
  • Data Compression
  • Distortion
  • Electric Fields
  • Electrical Engineering
  • Experimental Data
  • False Targets
  • High Resolution
  • Microwaves
  • Models
  • Phase Distortion
  • Probability
  • Random Variables

Fields of Study

  • Physics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Image Processing and Computer Vision.