Skip to main content

Blur and Disorder

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1682))

Abstract

Blurring is not the only way to selectively remove fine spa- tial detail from an image. An alternative is to scramble pixels locally over areas defined by the desired blur circle. We refer to such scram- bled images as “locally disorderly”. Such images have many potentially interesting applications. In this contribution we discuss a formal frame- work for such locally disorderly images. It boils down to a number of intricately intertwined scale spaces, one of which is the ordinary linear scale space for the image. The formalism is constructed on the basis of an operational definition of local histograms of arbitrary bin width and arbitrary support

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Florack, L. M. J. 1997. Image Structure. Dordrecht: Kluwer.

    Google Scholar 

  2. Griffin, L. D. 1997. Scale-imprecision space. Image and Vision Computing, 15: 369–398.

    Article  Google Scholar 

  3. Helmholtz, H. 1866. Handbuch der physiologischen Optik. Hamburg and Leipzig: Voss.

    Google Scholar 

  4. Hess, R. 1982. Developmental sensory impairment: Amblyopia or tarachopia? Hu man Neurobiology, 1: 17–29.

    Google Scholar 

  5. Homer, W. I. 1964. Seurat and the science of painting. Cambridge, Mass.: The M.I.T. Press.

    Google Scholar 

  6. Koenderink, J. J. and van Doorn, A. J. 1978. Invariant features of contrast detection: An explanation in terms of self-similar detector arrays. Biological Cybernetics, 30: 157–167.

    Article  Google Scholar 

  7. Koenderink, J. J. 1984. The structure of images. Biological Cybernetics, 50: 363–370.

    Article  MATH  MathSciNet  Google Scholar 

  8. Koenderink, J. J. and van Doorn, A. J. 1992. Generic neighborhood operators. IEEE Transactions on Pattern Analysis and Machine Intelligence, 14: 597–605.

    Article  Google Scholar 

  9. Lindeberg, T. 1994. Scale-space theory in computer vision. Boston, Mass.: Kluwer.

    Google Scholar 

  10. Metzger, W. 1975. Gesetze des Sehens. Frankfurt a.M.: Verlag Waldemar Kramer.

    Google Scholar 

  11. Noest, A. J. and Koenderink, J. J. 1990. Visual coherence despite transparency or partial occlusion. Perception, 19: 384.

    Google Scholar 

  12. Parzen, E. 1962. On estimation of a probability density function and mode. Annual Mathematical Statistics, 33: 1065–1076.

    Article  MATH  MathSciNet  Google Scholar 

  13. Ruskin, J. 1900. Elements of drawing (first ed. 1857). Sunnyside, Orpington: George Allen.

    Google Scholar 

  14. Ruskin, J. 1873. Modern Painters (Vol. I). Boston: Dana Estes & Company.

    Google Scholar 

  15. Ulichney, R. A. 1987. Digital halftoning. Cambridge, Mass.: The M.I.T. Press.

    Google Scholar 

  16. Ulichney, R. A. 1988. Dithering with blue noise. Proc. IEEE, 76: 56–79.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1999 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Koenderink, J.J., van Doorn, A.J. (1999). Blur and Disorder. In: Nielsen, M., Johansen, P., Olsen, O.F., Weickert, J. (eds) Scale-Space Theories in Computer Vision. Scale-Space 1999. Lecture Notes in Computer Science, vol 1682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48236-9_1

Download citation

  • DOI: https://doi.org/10.1007/3-540-48236-9_1

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66498-7

  • Online ISBN: 978-3-540-48236-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics