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Image Formation Models

  • Reginald L. Lagendijk
  • Jan Biemond
Chapter
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 118)

Abstract

In order to solve the image identification and restoration problem, mathematical models are required for the real-world processes involved in image generation, formation and recording. It may even be argued that the ultimate goal of image restoration, that is the recovery of the original undistorted image, can only be understood and formulated through the use of mathematical models which reflect in one way or another the a priori information one has regarding the observed image, the image formation process and the original image. Without such knowledge, the identification and restoration of a degraded image could probably not be accomplished.

Keywords

Image Formation Image Model Image Restoration Motion Blur White Noise Process 
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 New York 1991

Authors and Affiliations

  • Reginald L. Lagendijk
    • 1
  • Jan Biemond
    • 1
  1. 1.Delft University of TechnologyThe Netherlands

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