Image processing

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Image processing is any form of information processing for which the input is an image, such as photographs or frames of video; the output is not necessarily an image, but can be for instance a set of features of the image. Most image-processing techniques involve treating the image as a two-dimensional signal and applying standard signal-processing techniques to it.

Typical problems

and many more.

Besides static two-dimensional images, the field also covers the processing of time-varying signals such as video and the output of tomographic equipment. Some techniques, such as morphological image processing, are specific to binary or grayscale images.

Applications

See also

References

  1. The Image Processing Handbook by John C. Russ, ISBN 0849372542 (2006)
  2. Fundamentals of Image Processing by Ian T. Young, Jan J. Gerbrands, Lucas J. Van Vliet, Paperback, ISBN 90-75691-01-7 (1995)
  3. Image Analysis and Mathematical Morphology by Jean Serra, ISBN 0126372403 (1982)
  4. Image Analysis and Mathematical Morphology, Volume 2: Theoretical Advances by Jean Serra, ISBN 0-12-637241-1 (1988)
  5. ''Scale-Space Theory in Computer Vision'' by Tony Lindeberg, ISBN 0-7923-9418-6 (1994)
  6. Front-End Vision and Multi-Scale Image Analysis by Bart M. ter Haar Romeny, Paperback, ISBN 1-4020-1507-0 (2003)
  7. Geometry-Driven Diffusion in Computer Vision by Bart M. ter Haar Romeny (Ed.), ISBN 0792330870{ (1994)
  8. Digital Image Processing by Rafael C. Gonzalez, Richard E. Woods, ISBN 0-201-50803-6 (1992)
  9. Digital Image Processing by William K. Pratt, Paperback, ISBN 0-471-01888-0 (1978)

External links