Color Palette Considerations for Digital Map Displays

Abstract

The Map Data Formatting Facility is creating a library of Compressed Aeronautical Chart (CAC) data on a compact disk (CD) media in support of mission planning systems and airborne digital moving-map systems for military aircraft. The CAC library is generated by transforming the Defense Mapping Agency's Equal Arc-Second Raster Chart (ARC) Digitized Raster Graphics data from the ARC projection system into the Navy-specified tessellated spheroid projection system. The data are then color and spatially compressed using a technique known as vector quantization. This report discusses the method by which a standard set of thirty 8-bit color palettes, which are used for the color-compression portion of CAC generation, are built. Briefly, color compression is achieved by reducing the amount of color information from 24 bits per pixel to 8 bits per pixel via a color look-up table. A CAC color palette, which contains 256 entries (including 16 that are reserved for vector graphic overlays), is used to define the color look-up table. In addition, the color palette is written onto the final CAC CD- ROM for decompression operations. Since a single color palette will be used to color compress ARC digitized raster graphics data for one-fifth of the world at a given scale, prudent color selection is vital. Digital maps, Optical storage, Databases, Data compression.

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Document Details

Document Type
Technical Report
Publication Date
Aug 03, 1993
Accession Number
ADA269991

Entities

People

  • Henry Rosche. Iii
  • Maura Connor Lohrenz
  • Michael E. Trenchard
  • Stacen Tyskiewicz

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Abstracts
  • Airborne
  • Aircrafts
  • Bomber Aircraft
  • Compression
  • Computers
  • Data Sets
  • Databases
  • Demographic Cohorts
  • Digital Images
  • Digital Information
  • Digital Maps
  • Images
  • Maps
  • Military Aircraft
  • Optical Storage
  • Standards

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Computer Vision.
  • Geodesy