Nonlinear Image Processing

Nonlinear Image Processing
Author: Sanjit Mitra
Publisher: Academic Press
Total Pages: 480
Release: 2001
Genre: Computers
ISBN: 9780125004510


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This state-of-the-art book deals with the most important aspects of non-linear imaging challenges. The need for engineering and mathematical methods is essential for defining non-linear effects involved in such areas as computer vision, optical imaging, computer pattern recognition, and industrial automation challenges.


Nonlinear Image Processing
Language: en
Pages: 480
Authors: Sanjit Mitra
Categories: Computers
Type: BOOK - Published: 2001 - Publisher: Academic Press

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This state-of-the-art book deals with the most important aspects of non-linear imaging challenges. The need for engineering and mathematical methods is essentia
Oscillating Patterns in Image Processing and Nonlinear Evolution Equations
Language: en
Pages: 138
Authors: Yves Meyer
Categories: Computers
Type: BOOK - Published: 2001 - Publisher: American Mathematical Soc.

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Image compression, the Navier-Stokes equations, and detection of gravitational waves are three seemingly unrelated scientific problems that, remarkably, can be
An Introduction to Nonlinear Image Processing
Language: en
Pages: 200
Authors: Edward R. Dougherty
Categories: Technology & Engineering
Type: BOOK - Published: 1994 - Publisher: SPIE Press

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From a strict semantic point of view, nonlinear image processing encompasses all image processing that is not based on linear operators; however, from a practic
Nonlinear Digital Filters
Language: en
Pages: 217
Authors: W. K. Ling
Categories: Technology & Engineering
Type: BOOK - Published: 2010-07-27 - Publisher: Academic Press

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Nonlinear Digital Filters provides an easy to understand overview of nonlinear behavior in digital filters, showing how it can be utilized or avoided when opera
Nonlinear Signal Processing
Language: en
Pages: 483
Authors: Gonzalo R. Arce
Categories: Science
Type: BOOK - Published: 2005-01-03 - Publisher: John Wiley & Sons

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Nonlinear Signal Processing: A Statistical Approach focuses on unifying the study of a broad and important class of nonlinear signal processing algorithms which