An Image Transform Coding Algorithm Based on a Generalized Correlation Model.

Abstract

Image transform coding is a technique whereby a sampled image is divided into blocks. A two-dimensional discrete transform of each block is taken, and the resulting transform coefficients are coded. Coding of the transform coefficients requires their quantization and, consequently, a model for the transform coefficient variances that is based in turn on a correlation model for the image blocks. In the proposed correlation model each block of image data is formed by an arbitrary left and right matrix multiplication of a stationary white matrix. One consequence of this correlation model is that the transform coefficeint variances are product separable in row and column indexes. The product separable model for the transform coefficient variances forms the basis of a transform coding algorithm. The algorithm is described and tested on real sampled images. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Aug 24, 1979
Accession Number
ADA074839

Entities

People

  • Stuart M. Melzer

Organizations

  • The Aerospace Corporation

Tags

Communities of Interest

  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Coefficients
  • Computations
  • Computer Programming
  • Computers
  • Corporations
  • Data Science
  • Digital Images
  • Distortion
  • Fast Fourier Transforms
  • Images
  • Model Theory
  • Models
  • Order Statistics
  • Statistics
  • Two Dimensional

Fields of Study

  • Engineering

Readers

  • Approximation Theory.
  • Human-Computer Interaction (HCI).