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Image enhancement using an optimum quantizer

  • 5 Signal Processing
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Computer Aided Systems Theory — EUROCAST'97 (EUROCAST 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1333))

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Abstract

We use an optimum quantizer according to an energy criterion to divide the histogram of the image into subintervals whose sizes are inversely proportional to the number of pixels affected. By establishing a correspondence between this quantizer and the evenly distributed one, we obtain a new image where the most frequent grey levels are expanded whereas those grey levels with less number of pixels are compressed.

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References

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Authors and Affiliations

  1. Departamento de Informática y Sistemas, Universidad de Las Palmas de Gran Canaria, Portugal

    Luis Álvarez, Julio Esclarín, Esther González & Luis Mazorra

Authors
  1. Luis Álvarez
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  2. Julio Esclarín
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  3. Esther González
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  4. Luis Mazorra
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Editor information

Franz Pichler Roberto Moreno-Díaz

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© 1997 Springer-Verlag Berlin Heidelberg

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Álvarez, L., Esclarín, J., González, E., Mazorra, L. (1997). Image enhancement using an optimum quantizer. In: Pichler, F., Moreno-Díaz, R. (eds) Computer Aided Systems Theory — EUROCAST'97. EUROCAST 1997. Lecture Notes in Computer Science, vol 1333. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0025065

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  • DOI: https://doi.org/10.1007/BFb0025065

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63811-7

  • Online ISBN: 978-3-540-69651-3

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