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Image Enhancement

  • Ralph Highnam
  • Michael Brady
Part of the Computational Imaging and Vision book series (CIVI, volume 14)

Abstract

As the mammographic model was being developed, a number of image degrading factors became evident. These included: scattered radiation, beam hardening, glare and possible over or under exposure. These motivate the model-based image enhancement and restoration algorithms proposed in this chapter. The h int representation lies at the heart of our approach and enables us to simulate any projective x-ray examination.

Keywords

Image Enhancement Modulation Transfer Function Film Density Linear Attenuation Coefficient Mammographic Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 1999

Authors and Affiliations

  • Ralph Highnam
    • 1
  • Michael Brady
    • 1
  1. 1.Department of Engineering ScienceOxford UniversityOxfordUK

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