Nonlinear Filters For Image Processing

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Nonlinear Filters For Image Processing

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Author : Edward R. Dougherty
language : en
Publisher: SPIE Press
Release Date : 1999

Nonlinear Filters For Image Processing written by Edward R. Dougherty and has been published by SPIE Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Computers categories.

This text covers key mathematical principles and algorithms for nonlinear filters used in image processing. Readers will gain an in-depth understanding of the underlying mathematical and filter design methodologies needed to construct and use nonlinear filters in a variety of applications. The 11 chapters explore topics of contemporary interest as well as fundamentals drawn from nonlinear filtering's historical roots in mathematical morphology and digital signal processing. This book examines various filter options and the types of applications for which they are best suited. The presentation is rigorous, yet accessible to engineers with a solid background in mathematics.

Nonlinear Image Processing

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Author : Giovanni Sicuranza
language : en
Publisher: Academic Press
Release Date : 2001

Nonlinear Image Processing written by Giovanni Sicuranza and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Computers categories.

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.

Fundamentals Of Electronic Image Processing

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Author : Arthur R. Weeks
language : en
Publisher:
Release Date : 1996-06-30

Fundamentals Of Electronic Image Processing written by Arthur R. Weeks and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-06-30 with categories.

This text is aimed at practicing engineers and scientists who need to understand the fundamentals of image processing theory and algorithms to perform their technical tasks. A variety of example images are used to help readers' understanding of how particular image processing algorithms work.

An Introduction To Nonlinear Image Processing

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Author : Edward R. Dougherty
language : en
Publisher: SPIE Press
Release Date : 1994

An Introduction To Nonlinear Image Processing written by Edward R. Dougherty and has been published by SPIE Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Technology & Engineering categories.

From a strict semantic point of view, nonlinear image processing encompasses all image processing that is not based on linear operators; however, from a practical, evolutionary point of view, the name itself is usually associated with the study of nonlinear filters, mainly the deterministic and nondeterministic analysis and design of logic-based operators. This Tutorial Text volume explores logic-based operators with emphasis on representation, design, and statistical optimization of nonlinear filters.

Nonlinear Digital Filters

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Author : Ioannis Pitas
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-14

Nonlinear Digital Filters written by Ioannis Pitas and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-14 with Technology & Engineering categories.

The function of a filter is to transform a signal into another one more suit able for a given purpose. As such, filters find applications in telecommunica tions, radar, sonar, remote sensing, geophysical signal processing, image pro cessing, and computer vision. Numerous authors have considered deterministic and statistical approaches for the study of passive, active, digital, multidimen sional, and adaptive filters. Most of the filters considered were linear although the theory of nonlinear filters is developing rapidly, as it is evident by the numerous research papers and a few specialized monographs now available. Our research interests in this area created opportunity for cooperation and co authored publications during the past few years in many nonlinear filter families described in this book. As a result of this cooperation and a visit from John Pitas on a research leave at the University of Toronto in September 1988, the idea for this book was first conceived. The difficulty in writing such a mono graph was that the area seemed fragmented and no general theory was available to encompass the many different kinds of filters presented in the literature. However, the similarities of some families of nonlinear filters and the need for such a monograph providing a broad overview of the whole area made the pro ject worthwhile. The result is the book now in your hands, typeset at the Department of Electrical Engineering of the University of Toronto during the summer of 1989.

Complex Valued Nonlinear Adaptive Filters

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Author : Danilo P. Mandic
language : en
Publisher: John Wiley & Sons
Release Date : 2009-04-20

Complex Valued Nonlinear Adaptive Filters written by Danilo P. Mandic and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-20 with Science categories.

This book was written in response to the growing demand for a text that provides a unified treatment of linear and nonlinear complex valued adaptive filters, and methods for the processing of general complex signals (circular and noncircular). It brings together adaptive filtering algorithms for feedforward (transversal) and feedback architectures and the recent developments in the statistics of complex variable, under the powerful frameworks of CR (Wirtinger) calculus and augmented complex statistics. This offers a number of theoretical performance gains, which is illustrated on both stochastic gradient algorithms, such as the augmented complex least mean square (ACLMS), and those based on Kalman filters. This work is supported by a number of simulations using synthetic and real world data, including the noncircular and intermittent radar and wind signals.

Logic Based Nonlinear Image Processing

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Author : Stephen Marshall
language : en
Publisher: SPIE Press
Release Date : 2007

Logic Based Nonlinear Image Processing written by Stephen Marshall and has been published by SPIE Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Computers categories.

This text provides insight into the design of optimal image processing operators for implementation directly into digital hardware. Starting with simple restoration examples and using the minimum of statistics, the book provides a design strategy for a wide range of image processing applications. The text is aimed principally at electronics engineers and computer scientists, but will also be of interest to anyone working with digital images.

Nonlinear Signal And Image Processing

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Author : Kenneth E. Barner
language : en
Publisher: CRC Press
Release Date : 2003-11-24

Nonlinear Signal And Image Processing written by Kenneth E. Barner and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-11-24 with Technology & Engineering categories.

Nonlinear signal and image processing methods are fast emerging as an alternative to established linear methods for meeting the challenges of increasingly sophisticated applications. Advances in computing performance and nonlinear theory are making nonlinear techniques not only viable, but practical. This book details recent advances in nonl

Nonlinear Filters

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Author : Hisashi Tanizaki
language : en
Publisher: Springer Science & Business Media
Release Date : 1996-08-16

Nonlinear Filters written by Hisashi Tanizaki and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-08-16 with Business & Economics categories.

Nonlinear and nonnormal filters are introduced and developed. Traditional nonlinear filters such as the extended Kalman filter and the Gaussian sum filter give biased filtering estimates, and therefore several nonlinear and nonnormal filters have been derived from the underlying probability density functions. The density-based nonlinear filters introduced in this book utilize numerical integration, Monte-Carlo integration with importance sampling or rejection sampling and the obtained filtering estimates are asymptotically unbiased and efficient. By Monte-Carlo simulation studies, all the nonlinear filters are compared. Finally, as an empirical application, consumption functions based on the rational expectation model are estimated for the nonlinear filters, where US, UK and Japan economies are compared.