Skip to main content

Sensor Signal Perfecting, Image Restoration, Reconstruction and Enhancement

  • Chapter
Book cover Digital Holography and Digital Image Processing
  • 607 Accesses

Abstract

Imaging systems always have certain technical limitations in their design and implementations and generate images that are not as perfect as they would be if there were no implementation limitations. Deviations of real images from perfect ones may be treated as distortions introduced by imaging systems to hypothetical perfect, or “ ideal” signals. Correction of these distortions is the primary goal of image processing.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 89.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover 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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. N. Wiener, The interpolation, extrapolation and smoothing of stationary times series, Wiley, New York, 1949

    Google Scholar 

  2. A. N. Kolmogorov, Sur l’interpolation de suits stationaires, C. R. Acad. Sci., 208, 2043–2045

    Google Scholar 

  3. D.L. Donoho and I.M. Johnstone, Ideal spatial adaptation by wavelet shrinkage, Biometrica, 81 (3): 425–455, 1994

    Article  MathSciNet  MATH  Google Scholar 

  4. L. Yaroslaysky and M. Eden, Fundamentals of Digital Optics, Birkhauser, Boston, 1996

    Google Scholar 

  5. L. Yaroslaysky, N. Merzlyakov, Methods of Digital Holography, Consultant Bureau, N.Y., 1980

    Google Scholar 

  6. M.D. Levine, Vision in Man and Mashine,, McGraw-Hill, 1985, pp. 110–130

    Google Scholar 

  7. L.P. Yaroslaysky, Local Adaptive Filters for Image Restoration and Enhancement, In: Int. Conf. on Analysis and Optimization of Systems. Images, Wavelets and PDE’s, Paris, June 26–28, 1996, Eds.: M.-O. Berger, R. Deriche, I. Herlin, J. Jaffre, J.-M. Morel, Springer Verlag, Lecture Notes in Control and Information Sciences, 219., 1996, pp. 31–39.

    Google Scholar 

  8. L. Yaroslaysky, “Local Adaptive Image Restoration and Enhancement with the Use of DFT and DCT in a Running Window”, Proceedings, Wavelet Applications in Signal and Image Processing IV, SPIE Proc. Series, v. 2825, pp. 1–13, 6–9 August 1996, Denver, Colorado.

    Google Scholar 

  9. L. Yaroslaysky, Image Restoration, enhancement and target location with local adaptive filters, in: International Trends in Optics and Photonics, ICOIV, ed. by T. Asakura, Springer Verlag, 1999, pp. 111–127

    Google Scholar 

  10. B.Z.Shaick, L. Ridel, L. Yaroslaysky, A hybrid transform method for image denoising, EUSIPCO2000, Tampere, Finland, Sept. 5–8, 2000

    Google Scholar 

  11. ftp://ftp.cis.upenn.eduipuh/eero/matlabPyrTools. tar. gz

    Google Scholar 

  12. L. P. Yaroslaysky, H. J. Caulfield, Deconvolution of multiple images of the same object, Applied Optics, v. 33, No. 11, pp. 2157–2162, 1994

    Article  ADS  Google Scholar 

  13. L. Yaroslaysky, M. Eden, Correlational Accumulation as a Method for Signal Restoration, Signal Processing, v. 39, pp. 89–106, 1994

    Article  Google Scholar 

  14. N. El Sherif, G. Turitto, eds., High Resolution Electrocardiography, Futura Mount Cisco, N.Y., 1992

    Google Scholar 

  15. B. L. Trus, M. Unser, T. Pan and A.C. Steven, Digital Image Processing of Electron Micrographs: the PIC system II, Scanning Microscopy, v. 6, 1992, pp. 441–451

    Google Scholar 

  16. I. Yamaguchi, J. Kato, S. Ohta, J. Mizuno, Image formation in phase shifting digital holography and application to microscopy, Applied Optics, v. 40, No. 34, pp. 6177–618

    Google Scholar 

  17. Photography for the Scientist, Ch. E. Engel, ed., Academic Press, London, 1968, pp. 632

    Google Scholar 

  18. V. Kim, L.P. Yaroslaysky, Rank Algorithms for Picture Processing, Computer Vision, Graphics and Image Processing, v. 35, 1986, p. 234–258.

    Article  ADS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer Science+Business Media New York

About this chapter

Cite this chapter

Yaroslavsky, L. (2004). Sensor Signal Perfecting, Image Restoration, Reconstruction and Enhancement. In: Digital Holography and Digital Image Processing. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-4988-5_8

Download citation

  • DOI: https://doi.org/10.1007/978-1-4757-4988-5_8

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-5397-1

  • Online ISBN: 978-1-4757-4988-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics