Mathematical Nonlinear Image Processing
A Special Issue of the Journal of Mathematical Imaging and Vision
Editors: Dougherty, Edward R., Astola, Jaakko (Eds.)
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- About this book
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Mathematical Nonlinear Image Processing deals with a fast growing research area. The development of the subject springs from two factors: (1) the great expansion of nonlinear methods applied to problems in imaging and vision, and (2) the degree to which nonlinear approaches are both using and fostering new developments in diverse areas of mathematics. Mathematical Nonlinear Image Processing will be of interest to people working in the areas of applied mathematics as well as researchers in computer vision. Mathematical Nonlinear Image Processing is an edited volume of original research. It has also been published as a special issue of the Journal of Mathematical Imaging and Vision. (Volume 2, Issue 2/3).
- Table of contents (12 chapters)
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Introduction
Pages 1-1
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Statistical Properties, Fixed Points, and Decomposition with WMMR Filters
Pages 3-20
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Asymptotic Behavior of Morphological Filters
Pages 21-39
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NonLinear Filtering Structure for Image Smoothing in Mixed-Noise Environments
Pages 41-58
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Root-Signal Sets of Morphological Filters and their Use in Variable-Length BTC Image Coding
Pages 59-75
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Table of contents (12 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Mathematical Nonlinear Image Processing
- Book Subtitle
- A Special Issue of the Journal of Mathematical Imaging and Vision
- Editors
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- Edward R. Dougherty
- Jaakko Astola
- Copyright
- 1993
- Publisher
- Springer US
- Copyright Holder
- Springer Science+Business Media New York
- eBook ISBN
- 978-1-4615-3148-7
- DOI
- 10.1007/978-1-4615-3148-7
- Hardcover ISBN
- 978-0-7923-9314-6
- Softcover ISBN
- 978-1-4613-6378-1
- Edition Number
- 1
- Number of Pages
- III, 176
- Topics
