Multichannel Linear Predictive Coding of Color Images,

Abstract

This paper reports on a preliminary study of applying single-channel (scalar) and multichannel (vector) 2-D linear prediction to color image modeling and coding. Also, the novel idea of a multi-input single-output 2-D ADPCM coder is introduced. The results of this study indicate that texture information in multispectral images can be represented by linear prediction coefficients or matrices, whereas the prediction error conveys edge-information. Moreover, by using a single-channel edge-information the investigators obtained, from original color images of 24 bits/pixel, reconstructed images of good quality at information rates of 1 bit/pixel or less. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1984
Accession Number
ADA142260

Entities

People

  • P. A. Maragos
  • R. M. Mersereau
  • R. W. Schafer

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Coders
  • Coding
  • Coefficients
  • Electrical Engineering
  • Engineering
  • Images
  • Multichannel
  • Multispectral
  • Notation
  • Security
  • Signal Processing
  • Symbols
  • Two Dimensional

Readers

  • Computational Modeling and Simulation
  • Image Processing and Computer Vision.