Deconvolution of Images and Spectra
Deconvolution of Images and Spectra

Author: Peter A. Jansson

Publisher: Courier Corporation

Published: 2014-05-05

Total Pages: 530

ISBN-13: 0486294455

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Deconvolution is a technique in signal or image processing that is applied to recover information. When it is employed, it is usually because instrumental effects of spreading and blurring have obscured that information. In 1996, Deconvolution of Images and Spectra was published (Academic Press) as a second edition of Jansson's 1984 book, Deconvolution with Applications in Spectroscopy. This landmark volume was first published to provide both an overview of the field, and practical methods and results. The present Dover edition is a corrected reprinting of the second edition. It incorporates all the advantages of its predecessors by conveying a clear understanding of the field while providing a selection of effective, practical techniques. The authors assume only a working knowledge of calculus, and emphasize practical applications over topics of theoretical interest, focusing on areas that have been pivotal to the evolution of the most effective methods. This tutorial is essentially self-contained. Readers will find it practical and easy to understand.

Deblurring Images
Deblurring Images

Author: Per Christian Hansen

Publisher: SIAM

Published: 2006-01-01

Total Pages: 144

ISBN-13: 9780898718874

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Describes the deblurring algorithms and techniques collectively known as spectral filtering methods, in which the singular value decomposition, or a similar decomposition with spectral properties, is used to introduce the necessary regularization or filtering in the reconstructed image. The concise MATLAB® implementations described in the book provide a template of techniques that can be used to restore blurred images from many applications.

Deconvolution of Absorption Spectra
Deconvolution of Absorption Spectra

Author: William Blass

Publisher: Elsevier

Published: 2012-12-02

Total Pages: 171

ISBN-13: 032316076X

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Deconvolution of Absorption Spectra describes the concept and application of signal recovery using deconvolution of absorption spectra, particularly from signal and frequency space. This book contains 13 chapters and begins with an overview of the concept and application of physical measurement systems. The succeeding chapters deal with the deconvolution in signal space, solutions for fundamentally linear methods, the application of the Jansson algorithm, and tests for the validity and reliability of deconvolution results of high-quality infrared absorption spectra. These topics are followed by discussions of the influence of noise problems, the complete case history of a deconvulated data run, and the validity of deconvolved line intensities. The last chapters summarize the performance, advantages, and limitations of deconvolution technique. This book will prove useful to physical scientists, geophysicists, electrical engineers, and statisticians.

Mathematics of Digital Images
Mathematics of Digital Images

Author: S. G. Hoggar

Publisher: Cambridge University Press

Published: 2006-09-14

Total Pages: 896

ISBN-13: 9781139451352

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Compression, restoration and recognition are three of the key components of digital imaging. The mathematics needed to understand and carry out all these components are explained here in a style that is at once rigorous and practical with many worked examples, exercises with solutions, pseudocode, and sample calculations on images. The introduction lists fast tracks to special topics such as Principal Component Analysis, and ways into and through the book, which abounds with illustrations. The first part describes plane geometry and pattern-generating symmetries, along with some on 3D rotation and reflection matrices. Subsequent chapters cover vectors, matrices and probability. These are applied to simulation, Bayesian methods, Shannon's information theory, compression, filtering and tomography. The book will be suited for advanced courses or for self-study. It will appeal to all those working in biomedical imaging and diagnosis, computer graphics, machine vision, remote sensing, image processing and information theory and its applications.

Blind Image Deconvolution
Blind Image Deconvolution

Author: Patrizio Campisi

Publisher: CRC Press

Published: 2017-12-19

Total Pages: 474

ISBN-13: 1420007297

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Blind image deconvolution is constantly receiving increasing attention from the academic as well the industrial world due to both its theoretical and practical implications. The field of blind image deconvolution has several applications in different areas such as image restoration, microscopy, medical imaging, biological imaging, remote sensing, astronomy, nondestructive testing, geophysical prospecting, and many others. Blind Image Deconvolution: Theory and Applications surveys the current state of research and practice as presented by the most recognized experts in the field, thus filling a gap in the available literature on blind image deconvolution. Explore the gamut of blind image deconvolution approaches and algorithms that currently exist and follow the current research trends into the future. This comprehensive treatise discusses Bayesian techniques, single- and multi-channel methods, adaptive and multi-frame techniques, and a host of applications to multimedia processing, astronomy, remote sensing imagery, and medical and biological imaging at the whole-body, small-part, and cellular levels. Everything you need to step into this dynamic field is at your fingertips in this unique, self-contained masterwork. For image enhancement and restoration without a priori information, turn to Blind Image Deconvolution: Theory and Applications for the knowledge and techniques you need to tackle real-world problems.

Artificial Intelligence and Computer Vision
Artificial Intelligence and Computer Vision

Author: Huimin Lu

Publisher: Springer

Published: 2016-11-01

Total Pages: 220

ISBN-13: 3319462458

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This edited book presents essential findings in the research fields of artificial intelligence and computer vision, with a primary focus on new research ideas and results for mathematical problems involved in computer vision systems. The book provides an international forum for researchers to summarize the most recent developments and ideas in the field, with a special emphasis on the technical and observational results obtained in the past few years.

Digital Imaging and Deconvolution
Digital Imaging and Deconvolution

Author: Enders A. Robinson

Publisher: SEG Books

Published: 2008

Total Pages: 449

ISBN-13: 1560801484

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Covering ideas and methods while concentrating on fundamentals, this book includes wave motion; digital imaging; digital filtering; visualization aspects of the seismic reflection method; sampling theory; the frequency spectrum; synthetic seismograms; wavelet processing; deconvolution; seismic attributes; phase rotation; and seismic attenuation.

Handbook of Mathematical Methods in Imaging
Handbook of Mathematical Methods in Imaging

Author: Otmar Scherzer

Publisher: Springer Science & Business Media

Published: 2010-11-23

Total Pages: 1626

ISBN-13: 0387929193

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The Handbook of Mathematical Methods in Imaging provides a comprehensive treatment of the mathematical techniques used in imaging science. The material is grouped into two central themes, namely, Inverse Problems (Algorithmic Reconstruction) and Signal and Image Processing. Each section within the themes covers applications (modeling), mathematics, numerical methods (using a case example) and open questions. Written by experts in the area, the presentation is mathematically rigorous. The entries are cross-referenced for easy navigation through connected topics. Available in both print and electronic forms, the handbook is enhanced by more than 150 illustrations and an extended bibliography. It will benefit students, scientists and researchers in applied mathematics. Engineers and computer scientists working in imaging will also find this handbook useful.

Signal Processing and Performance Analysis for Imaging Systems
Signal Processing and Performance Analysis for Imaging Systems

Author: S. Susan Young

Publisher: Artech House

Published: 2008

Total Pages: 323

ISBN-13: 1596932880

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This book presents today's most powerful signal processing techniques together with methods for assessing imaging system performance when each of these techniques is applied. This multi-use book helps you make the most of sensor hardware through software enhancement, and evaluate system and algorithm performance. You also learn how to make the best hardware/software decisions in developing the next-generation of image acquisition and analysis systems.