
One-and multimensional signal processing
Algorithms and applications in image processing
Hartmut Schroeder, Holger Blume
Résumé
information engineering. One- and Multidimensîonai Signal Processing provîdes an
introduction to the algorithmic basics of image and TV communication systems as
well as for systems in automation, and robotic applications using sen.sor based
imaging techniques. This novel combination of both one- and multidimensinal ,
signal processing discusses the similarities between the two and Mils the
understanding of om thffl over the other.
- Presents an applications-oriented approach to image
processing including TV signal processing and discusses
image scanning and the use of DSP procedures or digital
filters
- Provides clear and comprehensive coverage of basic
concepts such as spatial frequency, spatio-temporal signal
processing and the spectral representation of m9lièn and
tracking of moving objects
- Features examples of applications including image
pick-up and display as well as stili image filtering and
image sequence interpolation.
- Introduces new design strategies for finite-impulse
response (FIR) filters for image processing applications
using spatial and frequency design constraints
- Includes an introduction to nonlinear image processing
techniques applying edge detection operators, morphological
operators and rank order filters
Caractéristiques techniques
PAPIER | |
Éditeur(s) | Wiley |
Auteur(s) | Hartmut Schroeder, Holger Blume |
Parution | 01/12/2000 |
Nb. de pages | 361 |
Format | 17,1 x 25 |
Couverture | Relié |
Poids | 756g |
Intérieur | Noir et Blanc |
EAN13 | 9780471805410 |
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