Digital Color Image Restoration

Abstract

The restoration of color errors in digitally recorded color images is considered in this dissertation. A vector space model of a general digital color image recording system is derived and the equations representing the model and the equations of colorimetry are expressed in matrix form. Computer algorithms are derived which correct color errors introduced by imperfections in the color recording system. The sources of color error which are considered include sensor spectral responses which depart from ideal color matching curves, crosstalk between color signal channels, and system nonlinearities. The special case of a color film-digital scanner system is examined in detail, although the methods derived apply to a wider class of color or multispectral sensing and recording systems. The success of the correction algorithms is demonstrated using a computer simulation of the film-scanner system. The algorithms for correction of spectrally imperfect sensors are also tested using a specially created six band multispectral test image.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1975
Accession Number
ADA034749

Entities

People

  • Clanton E. Mancill

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Cameras
  • Color Film
  • Computational Science
  • Computer Simulations
  • Image Processing
  • Optics
  • Photographic Film
  • Photographic Materials
  • Photographs
  • Photography
  • Recording Systems
  • Simulations
  • Three Dimensional
  • Valence Bond Theory
  • Vector Spaces
  • Virtual Reality

Fields of Study

  • Physics

Readers

  • Control Systems Engineering.
  • Image Processing and Computer Vision.
  • Vision Science/Vision Psychology/Cognitive Neuroscience.

Technology Areas

  • Space