Psychophysical Comparisons in Image Compression Algorithms.

Abstract

Battlefield commanders are now requesting real-time visual battlefield information. These requests place an enormous strain on current transmission resources due to the file size of the images. As more and more visual information is sent, the ability to compress images efficiently becomes a significant issue. This thesis investigates whether any of the new image compression algorithms (Radiant TIN, Titan ICE, or Low Bit Rate) achieve higher compression ratios than the National Imagery Transmission Format Standard currently used by the Department of Defense. Titan ICE was found to perform better then Radiant TIN; however, the difference is not statistically significant. The Navy already has the proprietary rights to Radiant TIN. Therefore, in the absence of statistical significance, Radiant TIN is the recommended image compression algorithm for future use by the Department of Defense.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1999
Accession Number
ADA362726

Entities

People

  • Christopher J. Bodine

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • C4I
  • Ground and Sea Platforms
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Aircrafts
  • Algorithms
  • Communication Systems
  • Compression Ratio
  • Computer Programming
  • Computer Programs
  • Computer Vision
  • Computers
  • Data Analysis
  • Data Compression
  • Department Of Defense
  • Digital Images
  • Image Compression
  • Image Recognition
  • Military Applications
  • Psychology
  • Unmanned Aerial Vehicles

Fields of Study

  • Computer science

Readers

  • Neural Network Machine Learning.
  • Speech Processing/Speech Recognition.
  • Thermal Physics or Thermal Science.