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Blind Deconvolution
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Book Synopsis Blind Deconvolution by : Simon S. Haykin
Download or read book Blind Deconvolution written by Simon S. Haykin and published by Prentice Hall. This book was released on 1994 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is devoted to the study of the blind deconvolution problem - where it is impractical to assume the availability of the system input. It considers a variety of blind deconvolution/equalization algorithms - with computer simulation experiments to support the theory.
Book Synopsis Blind Image Deconvolution by : Patrizio Campisi
Download or read book Blind Image Deconvolution written by Patrizio Campisi and published by CRC Press. This book was released on 2017-12-19 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Blind Image Deconvolution by : Subhasis Chaudhuri
Download or read book Blind Image Deconvolution written by Subhasis Chaudhuri and published by Springer. This book was released on 2014-09-22 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: Blind deconvolution is a classical image processing problem which has been investigated by a large number of researchers over the last four decades. The purpose of this monograph is not to propose yet another method for blind image restoration. Rather the basic issue of deconvolvability has been explored from a theoretical view point. Some authors claim very good results while quite a few claim that blind restoration does not work. The authors clearly detail when such methods are expected to work and when they will not. In order to avoid the assumptions needed for convergence analysis in the Fourier domain, the authors use a general method of convergence analysis used for alternate minimization based on three point and four point properties of the points in the image space. The authors prove that all points in the image space satisfy the three point property and also derive the conditions under which four point property is satisfied. This provides the conditions under which alternate minimization for blind deconvolution converges with a quadratic prior. Since the convergence properties depend on the chosen priors, one should design priors that avoid trivial solutions. Hence, a sparsity based solution is also provided for blind deconvolution, by using image priors having a cost that increases with the amount of blur, which is another way to prevent trivial solutions in joint estimation. This book will be a highly useful resource to the researchers and academicians in the specific area of blind deconvolution.
Book Synopsis Advances in Independent Component Analysis by : Mark Girolami
Download or read book Advances in Independent Component Analysis written by Mark Girolami and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: Independent Component Analysis (ICA) is a fast developing area of intense research interest. Following on from Self-Organising Neural Networks: Independent Component Analysis and Blind Signal Separation, this book reviews the significant developments of the past year. It covers topics such as the use of hidden Markov methods, the independence assumption, and topographic ICA, and includes tutorial chapters on Bayesian and variational approaches. It also provides the latest approaches to ICA problems, including an investigation into certain "hard problems" for the very first time. Comprising contributions from the most respected and innovative researchers in the field, this volume will be of interest to students and researchers in computer science and electrical engineering; research and development personnel in disciplines such as statistical modelling and data analysis; bio-informatic workers; and physicists and chemists requiring novel data analysis methods.
Book Synopsis The Whole Story Behind Blind Adaptive Equalizers/ Blind Deconvolution by : Monika Pinchas
Download or read book The Whole Story Behind Blind Adaptive Equalizers/ Blind Deconvolution written by Monika Pinchas and published by Bentham Science Publishers. This book was released on 2012 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is well known that Intersymbol (ISI) Interference is a limiting factor in many communication environments where it causes an irreducible degradation of the bit error rate (BER) thus imposing an upper limit on the data symbol rate. In order to overcome the ISI problem, an equalizer is implemented in those systems. Among the three types of equalizers - non-blind, semi-blind and blind - the blind equalizer has the benefit of bandwidth saving and there is no need of going through a training phase. Blind equalization algorithms are essentially adaptive filtering algorithms designed such that they do not require the external supply of a desired response to generate the error signal in the output of the adaptive equalization filter. the algorithms generate an estimate of the desired response by applying a nonlinear transformation to sequences involved in the adaptation process. This nonlinearity is designed to minimize a cost function that is implicitly based on higher order statistics (HOS) according to one approach, or calculated directly according to the Bayes rules. The Whole Story behind Blind Adaptive Equalizers/ Blind Deconvolution gives the readers a full understanding on the blind deconvolution. the e-book covers a variety of blind deconvolution/equalization methods based on both cost functions and Bayes rules where simulation results are supplied to support the theory. These include the Maximum Entropy density approximation technique and the Edgeworth Expansion approach used in various blind equalizers. It also describes the relationship between the cost function approach and the approach taken according to Bayes rules. the e-book deals also with the effect of various system parameters (such as the step-size parameter or the equalizer's tap length) have on the obtained equalization performance. This e-book will be of particular interest to advanced communications engineering undergraduate students, graduate students, university instructors and signal processing researchers.
Book Synopsis Independent Component Analysis by : Aapo Hyvärinen
Download or read book Independent Component Analysis written by Aapo Hyvärinen and published by John Wiley & Sons. This book was released on 2004-04-05 with total page 505 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive introduction to ICA for students and practitioners Independent Component Analysis (ICA) is one of the most exciting new topics in fields such as neural networks, advanced statistics, and signal processing. This is the first book to provide a comprehensive introduction to this new technique complete with the fundamental mathematical background needed to understand and utilize it. It offers a general overview of the basics of ICA, important solutions and algorithms, and in-depth coverage of new applications in image processing, telecommunications, audio signal processing, and more. Independent Component Analysis is divided into four sections that cover: * General mathematical concepts utilized in the book * The basic ICA model and its solution * Various extensions of the basic ICA model * Real-world applications for ICA models Authors Hyvarinen, Karhunen, and Oja are well known for their contributions to the development of ICA and here cover all the relevant theory, new algorithms, and applications in various fields. Researchers, students, and practitioners from a variety of disciplines will find this accessible volume both helpful and informative.
Book Synopsis Adaptive Blind Signal and Image Processing by : Andrzej Cichocki
Download or read book Adaptive Blind Signal and Image Processing written by Andrzej Cichocki and published by John Wiley & Sons. This book was released on 2002-06-14 with total page 596 pages. Available in PDF, EPUB and Kindle. Book excerpt: Im Mittelpunkt dieses modernen und spezialisierten Bandes stehen adaptive Strukturen und unüberwachte Lernalgorithmen, besonders im Hinblick auf effektive Computersimulationsprogramme. Anschauliche Illustrationen und viele Beispiele sowie eine interaktive CD-ROM ergänzen den Text.
Book Synopsis Motion Deblurring by : A. N. Rajagopalan
Download or read book Motion Deblurring written by A. N. Rajagopalan and published by Cambridge University Press. This book was released on 2014-05-08 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensive guide to the restoration of images degraded by motion blur, encompassing algorithms and architectures, with novel computational photography methods.
Book Synopsis Advances in Neural Networks-isnn 2006 by :
Download or read book Advances in Neural Networks-isnn 2006 written by and published by Springer Science & Business Media. This book was released on 2006 with total page 1507 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Bayesian Approach to Inverse Problems by : Jérôme Idier
Download or read book Bayesian Approach to Inverse Problems written by Jérôme Idier and published by John Wiley & Sons. This book was released on 2013-03-01 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many scientific, medical or engineering problems raise the issue of recovering some physical quantities from indirect measurements; for instance, detecting or quantifying flaws or cracks within a material from acoustic or electromagnetic measurements at its surface is an essential problem of non-destructive evaluation. The concept of inverse problems precisely originates from the idea of inverting the laws of physics to recover a quantity of interest from measurable data. Unfortunately, most inverse problems are ill-posed, which means that precise and stable solutions are not easy to devise. Regularization is the key concept to solve inverse problems. The goal of this book is to deal with inverse problems and regularized solutions using the Bayesian statistical tools, with a particular view to signal and image estimation. The first three chapters bring the theoretical notions that make it possible to cast inverse problems within a mathematical framework. The next three chapters address the fundamental inverse problem of deconvolution in a comprehensive manner. Chapters 7 and 8 deal with advanced statistical questions linked to image estimation. In the last five chapters, the main tools introduced in the previous chapters are put into a practical context in important applicative areas, such as astronomy or medical imaging.
Book Synopsis Proceedings of TEPEN 2022 by : Hao Zhang
Download or read book Proceedings of TEPEN 2022 written by Hao Zhang and published by Springer Nature. This book was released on 2023-03-03 with total page 1156 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume gathers the latest advances, innovations and applications in the field of efficiency and performance engineering, as presented by leading international researchers and engineers at the 2022 conference of the Efficiency and Performance Engineering Network (TEPEN), held in Beijing and Baotou, China on August 18-21, 2022. Topics include vibro-acoustics monitoring, condition-based maintenance, sensing and instrumentation, machine health monitoring, maintenance auditing and organization, non-destructive testing, reliability, asset management, condition monitoring, life-cycle cost optimisation, prognostics and health management, maintenance performance measurement, manufacturing process monitoring, and robot-based monitoring and diagnostics. The contributions, which were selected through a rigorous international peer-review process, share exciting ideas that will spur novel research directions and foster new multidisciplinary collaborations.
Book Synopsis Theory of Remote Image Formation by : Richard E. Blahut
Download or read book Theory of Remote Image Formation written by Richard E. Blahut and published by Cambridge University Press. This book was released on 2004-11-18 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book was first published in 2004. In many applications, images, such as ultrasonic or X-ray signals, are recorded and then analyzed with digital or optical processors in order to extract information. Such processing requires the development of algorithms of great precision and sophistication. This book presents a unified treatment of the mathematical methods that underpin the various algorithms used in remote image formation. The author begins with a review of transform and filter theory. He then discusses two- and three-dimensional Fourier transform theory, the ambiguity function, image construction and reconstruction, tomography, baseband surveillance systems, and passive systems (where the signal source might be an earthquake or a galaxy). Information-theoretic methods in image formation are also covered, as are phase errors and phase noise. Throughout the book, practical applications illustrate theoretical concepts, and there are many homework problems. The book is aimed at graduate students of electrical engineering and computer science, and practitioners in industry.
Author :Dr. Vaibhav E. Narawade Publisher :AG PUBLISHING HOUSE (AGPH Books) ISBN 13 :9395936673 Total Pages :224 pages Book Rating :4.3/5 (959 download)
Book Synopsis Fundamentals Of Digital Image Processing by : Dr. Vaibhav E. Narawade
Download or read book Fundamentals Of Digital Image Processing written by Dr. Vaibhav E. Narawade and published by AG PUBLISHING HOUSE (AGPH Books). This book was released on 2022-11-09 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fundamental techniques that are required to support image processing applications are investigated in depth throughout this book. Continuous image characterization, image sampling & quantization methods, and 2D signal processing methods all fall under this category of foundational technologies. The next sections cover the two main parts of image processing, namely, image improvement and restoration techniques, and the data extraction procedure. Essential to the success of the course is an overview of the foundations of digital image processing. This is achieved via a signal processing or algorithmic strategy, which makes learning the fundamentals of digital imaging less daunting. Each notion is constructed based on the underlying concepts and explained in depth, with an equal amount of focus placed on theory. In addition to the book itself, a companion website has been created that has several MATLAB applications that may be used to put image-processing strategies into practice. In addition to that, enhancement, transform processing, reconstruction from projections, morphology image processing, restoration, registration object representation and classification, edge detection, compression, and colour processing are all extensively covered in the book. Topics are provided in sequential sequence.
Book Synopsis Optics in Astrophysics by : Renaud Foy
Download or read book Optics in Astrophysics written by Renaud Foy and published by Springer Science & Business Media. This book was released on 2006-01-14 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: Astrophysics is facing challenging aims such as deep cosmology at redshift higher than 10 to constrain cosmology models, or the detection of exoplanets, and possibly terrestrial exoplanets, and several others. It requires unprecedented ambitious R&D programs, which have definitely to rely on a tight cooperation between astrophysics and optics communities. The book addresses most of the most critical interdisciplinary domains where they interact, or where they will do. A first need is to collect more light, i.e. telescopes still larger than the current 8-10 meter class ones. Decametric, and even hectometric, optical (from UV to IR wavelengths) telescopes are being studied. Whereas up to now the light collecting surface of new telescopes was approximately 4 times that of the previous generation, now this factor is growing to 10 to 100. This quantum leap urges to implement new methods or technologies developed in the optics community, both in academic labs and in the industry. Given the astrophysical goals and technological constraints, new generation adaptive optics with a huge number of actuators and laser guide stars devices have to be developed, from theoretical bases to experimental works. Two other newcomers in observational astrophysics are interferometric arrays of optical telescopes and gravitational wave detectors. Up-to-date reviews of detectors and of spectrographs are given, as well as forefront R&D in the field of optical coatings and of guided optics. Possible new ways to handle photons are also addressed, based on quantum physics. More and more signal processing algorithms are a part and parcel of any modern instrumentation. Thus finally the book gives two reviews about wavefront processing and about image restoration and deconvolution algorithms for ill conditioned cases.
Book Synopsis Pattern Recognition and Image Analysis by : Joan Martí
Download or read book Pattern Recognition and Image Analysis written by Joan Martí and published by Springer Science & Business Media. This book was released on 2007-05-31 with total page 674 pages. Available in PDF, EPUB and Kindle. Book excerpt: Part of a two-volume set, this book constitutes the refereed proceedings of the Third Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2007, held in Girona, Spain in June 2007. It covers pattern recognition, human language technology, special architectures and industrial applications, motion analysis, image analysis, biomedical applications, shape and texture analysis, 3D, and image coding and processing.
Book Synopsis Bio-inspired Computing: Theories and Applications by : Cheng He
Download or read book Bio-inspired Computing: Theories and Applications written by Cheng He and published by Springer. This book was released on 2017-11-10 with total page 652 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 12th International Conference on Bio-inspired Computing: Theories and Applications, BIC-TA 2017, held in Harbin, China, December 2017. The 50 full papers presented were selected from 143 submissions. The papers deal with studies abstracting computing ideas such as data structures, operations with data, ways to control operations, computing models from living phenomena or biological systems such as evolution, cells, tissues, neural networks, immune systems, and ant colonies.
Book Synopsis Mathematics in Image Processing by : Hong-Kai Zhao
Download or read book Mathematics in Image Processing written by Hong-Kai Zhao and published by American Mathematical Soc.. This book was released on 2013-06-12 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: The theme of the 2010 PCMI Summer School was Mathematics in Image Processing in a broad sense, including mathematical theory, analysis, computation algorithms and applications. In image processing, information needs to be processed, extracted and analyzed from visual content, such as photographs or videos. These demands include standard tasks such as compression and denoising, as well as high-level understanding and analysis, such as recognition and classification. Centered on the theme of mathematics in image processing, the summer school covered quite a wide spectrum of topics in this field. The summer school is particularly timely and exciting due to the very recent advances and developments in the mathematical theory and computational methods for sparse representation. This volume collects three self-contained lecture series. The topics are multi-resolution based wavelet frames and applications to image processing, sparse and redundant representation modeling of images and simulation of elasticity, biomechanics, and virtual surgery. Recent advances in image processing, compressed sensing and sparse representation are discussed.
