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Machine Vision pp 521-551 | Cite as

Image Restoration

  • Jürgen BeyererEmail author
  • Fernando Puente León
  • Christian Frese
Chapter

Abstract

The image enhancement methods covered in Chap. 9 mainly considered subjective or qualitative criteria. In particular, the visual interpretability of the results was of greater importance than the ‘conservation of the original image traits’. This motivation resulted in mostly heuristic methods, which even altered the images to form pseudo-color images or false-color images (Sec. 9.1.3).

Keywords

Mean Square Error Spatial Frequency Power Spectral Density Image Restoration Impulse Response Function 
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-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  • Jürgen Beyerer
    • 1
    Email author
  • Fernando Puente León
    • 2
  • Christian Frese
    • 3
  1. 1.Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung and The Karlsruhe Institute of TechnologyKarlsruheGermany
  2. 2.Karlsruhe Institute of TechnologyKarlsruheGermany
  3. 3.Fraunhofer-Institut für Optronik, Systemtechnik und BildauswertungKarlsruheGermany

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