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eBook Local Approximation Techniques in Signal and Image Processing (SPIE Press Monograph Vol. PM157) download

by Jaakko Astola,Vladimir Katkovnik,Karen Egiazarian

eBook Local Approximation Techniques in Signal and Image Processing (SPIE Press Monograph Vol. PM157) download ISBN: 0819460923
Author: Jaakko Astola,Vladimir Katkovnik,Karen Egiazarian
Publisher: SPIE Publications; illustrated edition edition (September 26, 2006)
Language: English
Pages: 576
ePub: 1144 kb
Fb2: 1851 kb
Rating: 4.4
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Category: Technologies
Subcategory: Computer Science

This book deals with a wide class of novel and efficient adaptive signal processing techniques developed to. .Read instantly in your browser.

This book deals with a wide class of novel and efficient adaptive signal processing techniques developed to restore signals from noisy and degraded observations. These signals include those acquired from still or video cameras. by Jaakko Astola (Author), Vladimir Katkovnik (Author), Karen Egiazarian (Author) & 0 more. ISBN-13: 978-0819460929.

Author(s): Vladimir Katkovnik, Karen Egiazarian, Jaakko Astola. Hours: 8:00 am to 5:00 pm PST. Help Contact Us. Connect. PDF ISBN: 9780819478337 Print ISBN: 9780819460929. This book deals with a wide class of novel and efficient adaptive signal processing techniques developed to restore signals from noisy and degraded observations.

Tampere, Finland April 2006. V. Katkovnik K. Egiazarian J. Astola.

Local Approximation Techniques in Signal and Image Processing. Author(s): Vladimir Katkovnik; Karen Egiazarian; Jaakko Astola. Imaging provides a clear example of this type of problem. Tampere, Finland April 2006.

PM157) (9780819460929) by Jaakko Astola; Vladimir Katkovnik; Karen Egiazarian and a great selection of similar New, Used and Collectible .

Jaakko Astola; Vladimir Katkovnik; Karen Egiazarian Local Approximation Techniques in Signal and Image Processing (SPIE Press Monograph Vol. PM157). ISBN 13: 9780819460929. Local Approximation Techniques in Signal and Image Processing (SPIE Press Monograph Vol. Jaakko Astola; Vladimir Katkovnik; Karen Egiazarian.

Local Approximation Techniques in Signal and Image Processing by V. Katkovnik, K. Egiazarian, and J. Astola, SPIE Press, Monograph Vo. The LASIP project is run by Karen Egiazarian, Vladimir Katkovnik, Jaakko Astola, Alessandro Foi, and Dmitriy Paliy. Astola, SPIE Press, Monograph Vol. PM157, September 2006. Hardcover, 576 pages, ISBN 0-8194-6092-3. Table of contents and preface Sample Pages (PDF, 209 KB). Software. Currently, also Kostadin Dabov is contributing to the project. Katkovnik, . A. Foi, K. Astola, From local kernel to nonlocal multiple-model image denoising, preprint (July 2009), to appear Int.

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Katkovnik, K. Astola Local Approximation Techniques in Signal and Image Processing , SPIE Press, Monograph Vol. Sergeev and O. Titova An Approximation-Based Approach to Computing Image Moment Invariants Pattern Recognition and Image Analysis, Vol 17, No. 2 2007.

Local Approximation Techniques in Signal and Image Processing, SPIE Press Monograph Vol. PM 15. Egiazarian and J. Astola (2006) Local Approximation Techniques in Signal and Image Processing, SPIE Press Monograph Vol. PM 157. Aliases. Documentation reproduced from package aws, version . -6, License: GPL ( 2). Community examples. Looks like there are no examples yet.

Processing , SPIE Press, Monograph Vo. Local approximation techniques in signal and image processing

Processing , SPIE Press, Monograph Vol. Local approximation techniques in signal and image processing. This book is devoted to a recent and original approach to signal reconstruction based on combining two independent ideas: local polynomial approximation and the intersection of confidence interval rule.

Katkovnik, . Egiazarian, . Astola, . In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, vol. 2, pp. 597–600 (2006)Google Scholar. SPIE Press (2006)Google Scholar. 2. Coimbra, . Cunha, . MPEG-7 visual descriptors–contributions for automated feature extraction in capsule endoscopy. 4. Mackiewicz, . Berens, . Fisher, . Wireless capsule endoscopy video segmentation using support vector classifiers and hidden markov models.

This book deals with a wide class of novel and efficient adaptive signal processing techniques developed to restore signals from noisy and degraded observations. These signals include those acquired from still or video cameras, electron microscopes, radar, X rays, or ultrasound devices, and are used for various purposes, including entertainment, medical, business, industrial, military, civil, security, and scientific applications.

In many cases useful information and high quality must be extracted from the imaging. However, often raw signals are not directly suitable for this purpose and must be processed in some way. Such processing is called signal reconstruction. This book is devoted to a recent and original approach to signal reconstruction based on combining two independent ideas: local polynomial approximation and the intersection of confidence interval rule.

Contents

- Preface

- Notations and Abbreviations

- Introduction

- Discrete LPA

- Shift-Invariant LPA Kernels

- Integral LPA

- Discrete LPA Accuracy

- Adaptive-Scale Selection

- Anisotropic LPA

- Anisotropic LPA-ICI Algorithms

- Image Reconstruction

- Nonlinear Methods

- Likelihood and Quasi-Likelihood

- Photon Imaging

- Multiresolution Analysis

- Appendix

- References

- Index