Digital image gathering and minimum mean-square error restoration

Stephen K. Park, Stephen E. Reichenbach

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

Most digital image restoration algorithms are inherently incomplete because they are conditioned on a discrete-input, discrete-output model which only accounts for blurring during image gathering and additive noise. For those restoration applications where sampling and reconstruction (display) are important the restoration algorithm should be based on a more comprehensive end-to-end model which also accounts for the potentially important noise-like effects of aliasing and the low-pass filtering effects of interpolative reconstruction. In this paper we demonstrate that, although the mathematics of this more comprehensive model is more complex, the increase in complexity is not so great as to prevent a complete development and analysis of the associated minimum mean-square error (Wiener) restoration filter. We also survey recent results related to the important issue of implementing this restoration filter, in the spatial domain, as a computationally efficient small convolution kernel.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsMurat Kunt
PublisherPubl by Int Soc for Optical Engineering
Pages1578-1589
Number of pages12
ISBN (Print)0819404217
StatePublished - Dec 1 1990
EventVisual Communications and Image Processing '90 - Lausanne, Switz
Duration: Oct 1 1990Oct 4 1990

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume1360 pt 3
ISSN (Print)0277-786X

Other

OtherVisual Communications and Image Processing '90
CityLausanne, Switz
Period10/1/9010/4/90

Fingerprint

restoration
Mean square error
Restoration
Reconstruction (structural)
Additive noise
filters
Image reconstruction
Convolution
blurring
mathematics
convolution integrals
Display devices
Sampling
sampling
output

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Park, S. K., & Reichenbach, S. E. (1990). Digital image gathering and minimum mean-square error restoration. In M. Kunt (Ed.), Proceedings of SPIE - The International Society for Optical Engineering (pp. 1578-1589). (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 1360 pt 3). Publ by Int Soc for Optical Engineering.

Digital image gathering and minimum mean-square error restoration. / Park, Stephen K.; Reichenbach, Stephen E.

Proceedings of SPIE - The International Society for Optical Engineering. ed. / Murat Kunt. Publ by Int Soc for Optical Engineering, 1990. p. 1578-1589 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 1360 pt 3).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Park, SK & Reichenbach, SE 1990, Digital image gathering and minimum mean-square error restoration. in M Kunt (ed.), Proceedings of SPIE - The International Society for Optical Engineering. Proceedings of SPIE - The International Society for Optical Engineering, vol. 1360 pt 3, Publ by Int Soc for Optical Engineering, pp. 1578-1589, Visual Communications and Image Processing '90, Lausanne, Switz, 10/1/90.
Park SK, Reichenbach SE. Digital image gathering and minimum mean-square error restoration. In Kunt M, editor, Proceedings of SPIE - The International Society for Optical Engineering. Publ by Int Soc for Optical Engineering. 1990. p. 1578-1589. (Proceedings of SPIE - The International Society for Optical Engineering).
Park, Stephen K. ; Reichenbach, Stephen E. / Digital image gathering and minimum mean-square error restoration. Proceedings of SPIE - The International Society for Optical Engineering. editor / Murat Kunt. Publ by Int Soc for Optical Engineering, 1990. pp. 1578-1589 (Proceedings of SPIE - The International Society for Optical Engineering).
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