Applications of Nonlinear Adaptive Filters for Image Enhancement

Applications of Nonlinear Adaptive Filters for Image Enhancement PDF Author: Y. H. Lee
Publisher:
ISBN:
Category :
Languages : en
Pages : 4

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Book Description
Generalizations of median filters which combine desirable properties of both linear and nonlinear filters have recently been developed by the authors. This paper gives some results of applications of these filters in the enhancement of noisy images. The authors consider in particular the median, the alpha-trimmed mean (alpha-TM), the modified trimmed mean (MTM) and the double window (DW) MTM filters. In all but the last case iterated use of the filter has been examined. The results show that the new filters (MTM and DW MTM filters) are very good for edge-preserving enhancement of images contaminated by additive noise which includes impulsive components.

Applications of Nonlinear Adaptive Filters for Image Enhancement

Applications of Nonlinear Adaptive Filters for Image Enhancement PDF Author: Y. H. Lee
Publisher:
ISBN:
Category :
Languages : en
Pages : 4

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Book Description
Generalizations of median filters which combine desirable properties of both linear and nonlinear filters have recently been developed by the authors. This paper gives some results of applications of these filters in the enhancement of noisy images. The authors consider in particular the median, the alpha-trimmed mean (alpha-TM), the modified trimmed mean (MTM) and the double window (DW) MTM filters. In all but the last case iterated use of the filter has been examined. The results show that the new filters (MTM and DW MTM filters) are very good for edge-preserving enhancement of images contaminated by additive noise which includes impulsive components.

Efficient Nonlinear Adaptive Filters

Efficient Nonlinear Adaptive Filters PDF Author: Haiquan Zhao
Publisher: Springer Nature
ISBN: 3031208188
Category : Technology & Engineering
Languages : en
Pages : 271

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Book Description
This book presents the design, analysis, and application of nonlinear adaptive filters with the goal of improving efficient performance (ie the convergence speed, steady-state error, and computational complexity). The authors present a nonlinear adaptive filter, which is an important part of nonlinear system and digital signal processing and can be applied to diverse fields such as communications, control power system, radar sonar, etc. The authors also present an efficient nonlinear filter model and robust adaptive filtering algorithm based on the local cost function of optimal criterion to overcome non-Gaussian noise interference. The authors show how these achievements provide new theories and methods for robust adaptive filtering of nonlinear and non-Gaussian systems. The book is written for the scientist and engineer who are not necessarily an expert in the specific nonlinear filtering field but who want to learn about the current research and application. The book is also written to accompany a graduate/PhD course in the area of nonlinear system and adaptive signal processing.

Complex Valued Nonlinear Adaptive Filters

Complex Valued Nonlinear Adaptive Filters PDF Author: Danilo P. Mandic
Publisher: John Wiley & Sons
ISBN: 0470742631
Category : Science
Languages : en
Pages : 344

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Book Description
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.

Adaptive Filtering Applications

Adaptive Filtering Applications PDF Author: Lino Garcia Morales
Publisher: BoD – Books on Demand
ISBN: 9533073063
Category : Technology & Engineering
Languages : en
Pages : 414

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Book Description
Adaptive filtering is useful in any application where the signals or the modeled system vary over time. The configuration of the system and, in particular, the position where the adaptive processor is placed generate different areas or application fields such as: prediction, system identification and modeling, equalization, cancellation of interference, etc. which are very important in many disciplines such as control systems, communications, signal processing, acoustics, voice, sound and image, etc. The book consists of noise and echo cancellation, medical applications, communications systems and others hardly joined by their heterogeneity. Each application is a case study with rigor that shows weakness/strength of the method used, assesses its suitability and suggests new forms and areas of use. The problems are becoming increasingly complex and applications must be adapted to solve them. The adaptive filters have proven to be useful in these environments of multiple input/output, variant-time behaviors, and long and complex transfer functions effectively, but fundamentally they still have to evolve. This book is a demonstration of this and a small illustration of everything that is to come.

Nonlinear Digital Filters

Nonlinear Digital Filters PDF Author: Ioannis Pitas
Publisher: Springer Science & Business Media
ISBN: 1475760175
Category : Technology & Engineering
Languages : en
Pages : 402

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Book Description
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.

Nonlinear Adaptive Filters for Signal Processing Applications

Nonlinear Adaptive Filters for Signal Processing Applications PDF Author: Ashok Herur
Publisher:
ISBN:
Category : Adaptive control systems
Languages : en
Pages : 136

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Book Description


Adaptive Filters

Adaptive Filters PDF Author: Behrouz Farhang-Boroujeny
Publisher: John Wiley & Sons
ISBN: 111859133X
Category : Technology & Engineering
Languages : en
Pages : 800

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Book Description
This second edition of Adaptive Filters: Theory and Applications has been updated throughout to reflect the latest developments in this field; notably an increased coverage given to the practical applications of the theory to illustrate the much broader range of adaptive filters applications developed in recent years. The book offers an easy to understand approach to the theory and application of adaptive filters by clearly illustrating how the theory explained in the early chapters of the book is modified for the various applications discussed in detail in later chapters. This integrated approach makes the book a valuable resource for graduate students; and the inclusion of more advanced applications including antenna arrays and wireless communications makes it a suitable technical reference for engineers, practitioners and researchers. Key features: • Offers a thorough treatment of the theory of adaptive signal processing; incorporating new material on transform domain, frequency domain, subband adaptive filters, acoustic echo cancellation and active noise control. • Provides an in-depth study of applications which now includes extensive coverage of OFDM, MIMO and smart antennas. • Contains exercises and computer simulation problems at the end of each chapter. • Includes a new companion website hosting MATLAB® simulation programs which complement the theoretical analyses, enabling the reader to gain an in-depth understanding of the behaviours and properties of the various adaptive algorithms.

Adaptive Filtering

Adaptive Filtering PDF Author: Lino Garcia Morales
Publisher: BoD – Books on Demand
ISBN: 9533071583
Category : Computers
Languages : en
Pages : 414

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Book Description
Adaptive filtering is useful in any application where the signals or the modeled system vary over time. The configuration of the system and, in particular, the position where the adaptive processor is placed generate different areas or application fields such as prediction, system identification and modeling, equalization, cancellation of interference, etc., which are very important in many disciplines such as control systems, communications, signal processing, acoustics, voice, sound and image, etc. The book consists of noise and echo cancellation, medical applications, communications systems and others hardly joined by their heterogeneity. Each application is a case study with rigor that shows weakness/strength of the method used, assesses its suitability and suggests new forms and areas of use. The problems are becoming increasingly complex and applications must be adapted to solve them. The adaptive filters have proven to be useful in these environments of multiple input/output, variant-time behaviors, and long and complex transfer functions effectively, but fundamentally they still have to evolve. This book is a demonstration of this and a small illustration of everything that is to come.

Color Image Processing and Applications

Color Image Processing and Applications PDF Author: Konstantinos N. Plataniotis
Publisher: Springer Science & Business Media
ISBN: 3662041863
Category : Computers
Languages : en
Pages : 368

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Book Description
Reporting the state of the art of colour image processing, this monograph fills a gap in the literature on digital signal and image processing. It contains numerous examples and pictures of colour image processing results, plus a library of algorithms implemented in C.

Nonlinear Signal and Image Processing

Nonlinear Signal and Image Processing PDF Author: Kenneth E. Barner
Publisher: CRC Press
ISBN: 0203010418
Category : Technology & Engineering
Languages : en
Pages : 560

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Book Description
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