Digital Color Image Compression in a Perceptual Space.

Abstract

Simple mathematical models are developed from the physiological and psychophysical traits of the human visual system. Expressions for the statistical characterization of these models are obtained. When used as a preprocessor, the models are shown to produce images which are statistically compatible with the underlying assumptions necessary to solve the parametric rate-distortion equations. The derived power spectrum equations were used to code black and white and color images with a quality superior to previous results. In addition, it is shown that the preprocessor produces a 'perceptual space' in which normalized mean square error is an effective image quality measure. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1978
Accession Number
ADA060431

Entities

People

  • Charles F. Hall
  • Harry C. Andrews

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Absorption
  • Air Force
  • Brain
  • Databases
  • Digital Images
  • Eye
  • Image Processing
  • Mathematical Models
  • Models
  • Modulation
  • Optic Nerve
  • Optics
  • Probability
  • Random Variables
  • Retina
  • Test And Evaluation
  • Two Dimensional

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computational Modeling and Simulation
  • Vision Science/Vision Psychology/Cognitive Neuroscience.

Technology Areas

  • Space