Binary image restoration at subpixel resolution

@inproceedings{Hitchcock1995BinaryIR,
  title={Binary image restoration at subpixel resolution},
  author={D. Hitchcock},
  year={1995}
}
Recovery of object boundaries to subpixel accuracy is possible from digital images if su cient assumptions can be made. Subpixel restoration is of most relevance if an object is at the limit of resolution of a sensor, either being only a few pixels in size or having ne structure. A method is proposed for recovering a binary image from multilevel pixel values, which are modelled by a convolution of the true scene with a blurring kernel, together with additive noise. Small objects, such as… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 16 references

Estimation of subpixel vegetation cover using red and infrared scattergrams

  • M. F. Jasinski, P. S. Eagleson
  • IEEE Transactions on Geoscience and Remote…
  • 1990
Highly Influential
6 Excerpts

A subpixel image restoration algorithm

  • C. Jennison
  • Vacuum Science and Technology,
  • 1997
1 Excerpt

Image analysis of space- lling by networks: application to a fungal mycelium

  • D. Hitchcock, C. A. Glasbey, K. Ritz
  • Biotechnology Techniques,
  • 1996
1 Excerpt

Ice- oe identi cation in satellite images using mathematicalmorphology and clustering about principal curves

  • J. D. Ban eld, A. E. Raftery
  • Journal of the American Statistical Association,
  • 1992
2 Excerpts

derived a similar expression for the Cauchy density, and obtained an analytic solution to the 1-dimensional integral for the special case of a piecewise linear boundary

  • Roysam
  • 1992

A subpixel deconvolution method for astronomical images

  • N. Weir, S. Djorgovski
  • Fundamental Theories of Physics,
  • 1991
2 Excerpts

Aggregation and re nement in binary image restoration, Spatial Statistics and Imaging, IMS Lecture Notes, Hayward, 150-162

  • C. Cambridge. Jennison, M. Jubb
  • CVGIP: Graphical Models and Image Processing
  • 1991
1 Excerpt

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