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Machine Vision pp 369-464 | Cite as

Image Signals

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

Abstract

An image signal g(x) acquired by the methods described in Chap.7 is a function g : \({{\mathbb{R}}^{2}}\to {{\mathbb{R}}^{Q}}\), which—in the general case—maps the whole image plane to vectorial values, where Q denotes the number of channels (cf. Sec. 1.3). At first, both the domain and the range of the image signal are considered to be continuous. In this case, g(x) is called a continuous image signal or an analog image signal.

Keywords

Probability Density Function Power Spectral Density Discrete Fourier Transform Image Signal Dirac Delta 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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