Image Processing in the Human Visual System.

Abstract

This work extends the multiplicative visual model to include image texture as suggested by previous experiments linking a low resolution Fourier analysis with neurons in certain parts of the visual cortex. The new model takes image texture into account in the sense that weak texture is accentuated and strong, high contrast texture is attenuated. This model is then used as the basis for an improved image enhancement scheme and an unusually successful method for restoring blurred images. In addition, it is suggested how the model may provide new insights into the problem of finding a quantitatively correct image fidelity criterion. The structure of this model is described in relation to visual neurophysiology and examples are presented of images processed by the new techniques. The present research also shows how Land's 'retinex' can be implemented in a new way which allows the required computations to be carried out on a rectangular grid.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1975
Accession Number
ADA038698

Entities

People

  • Brent Baxter

Organizations

  • University of Utah

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Automatic Gain Control
  • Bandpass Filters
  • Cameras
  • Cognition
  • Computer Programming
  • Computer Science
  • Computers
  • Dynamic Range
  • Electrical Engineering
  • Filtration
  • Frequency Response
  • Image Processing
  • Light Sources
  • Neural Pathways
  • Photographs
  • Psychology
  • Reliability

Fields of Study

  • Physics

Readers

  • Image Processing and Computer Vision.
  • Theoretical Analysis.
  • Vision Science/Vision Psychology/Cognitive Neuroscience.