Multiscale Transforms With Application To Image Processing

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Multiscale Transforms with Application to Image Processing

Aparna Vyas,Soohwan Yu,Joonki Paik
Multiscale Transforms with Application to Image Processing Book PDF

Author : Aparna Vyas,Soohwan Yu,Joonki Paik
Publisher : Springer
Page : 254 pages
File Size : 41,6 Mb
Release : 2017-12-05
Category : Technology & Engineering
ISBN : 9789811072727

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Multiscale Transforms with Application to Image Processing by Aparna Vyas,Soohwan Yu,Joonki Paik Pdf

This book provides an introduction to image processing, an overview of the transforms which are most widely used in the field of image processing, and an introduction to the application of multiscale transforms in image processing. The book is divided into three parts, with the first part offering the reader a basic introduction to image processing. The second part of the book starts with a chapter on Fourier analysis and Fourier transforms, wavelet analysis, and ends with a chapter on new multiscale transforms. The final part of the book deals with all of the most important applications of multiscale transforms in image processing. The chapters consist of both tutorial and highly advanced material, and as such the book is intended to be a reference text for graduate students and researchers to obtain state-of-the-art knowledge on specific applications. The technique of solving problems in the transform domain is common in applied mathematics and widely used in research and industry, but is a somewhat neglected subject within the undergraduate curriculum. It is hoped that faculty can use this book to create a course that can be offered early in the curriculum and fill this void. Also, the book is intended to be used as a reference manual for scientists who are engaged in image processing research, developers of image processing hardware and software systems, and practising engineers and scientists who use image processing as a tool in their applications.

Mathematical Morphology and Its Applications to Image and Signal Processing

Petros Maragos,Ronald W. Schafer,Muhammad Akmal Butt
Mathematical Morphology and Its Applications to Image and Signal Processing Book PDF

Author : Petros Maragos,Ronald W. Schafer,Muhammad Akmal Butt
Publisher : Springer Science & Business Media
Page : 480 pages
File Size : 54,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461304692

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Mathematical Morphology and Its Applications to Image and Signal Processing by Petros Maragos,Ronald W. Schafer,Muhammad Akmal Butt Pdf

Mathematical morphology (MM) is a powerful methodology for the quantitative analysis of geometrical structures. It consists of a broad and coherent collection of theoretical concepts, nonlinear signal operators, and algorithms aiming at extracting, from images or other geometrical objects, information related to their shape and size. Its mathematical origins stem from set theory, lattice algebra, and integral and stochastic geometry. MM was initiated in the late 1960s by G. Matheron and J. Serra at the Fontainebleau School of Mines in France. Originally it was applied to analyzing images from geological or biological specimens. However, its rich theoretical framework, algorithmic efficiency, easy implementability on special hardware, and suitability for many shape- oriented problems have propelled its widespread diffusion and adoption by many academic and industry groups in many countries as one among the dominant image analysis methodologies. The purpose of Mathematical Morphology and its Applications to Image and Signal Processing is to provide the image analysis community with a sampling from the current developments in the theoretical (deterministic and stochastic) and computational aspects of MM and its applications to image and signal processing. The book consists of the papers presented at the ISMM'96 grouped into the following themes: Theory Connectivity Filtering Nonlinear System Related to Morphology Algorithms/Architectures Granulometries, Texture Segmentation Image Sequence Analysis Learning Document Analysis Applications

Digital Signal Processing with Matlab Examples, Volume 2

Jose Maria Giron-Sierra
Digital Signal Processing with Matlab Examples Volume 2 Book PDF

Author : Jose Maria Giron-Sierra
Publisher : Springer
Page : 913 pages
File Size : 50,6 Mb
Release : 2016-12-02
Category : Technology & Engineering
ISBN : 9789811025372

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Digital Signal Processing with Matlab Examples, Volume 2 by Jose Maria Giron-Sierra Pdf

This is the second volume in a trilogy on modern Signal Processing. The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs. This second book focuses on recent developments in response to the demands of new digital technologies. It is divided into two parts: the first part includes four chapters on the decomposition and recovery of signals, with special emphasis on images. In turn, the second part includes three chapters and addresses important data-based actions, such as adaptive filtering, experimental modeling, and classification.

Wavelet Transforms

Firdous A. Shah,Azhar Y. Tantary
Wavelet Transforms Book PDF

Author : Firdous A. Shah,Azhar Y. Tantary
Publisher : CRC Press
Page : 502 pages
File Size : 43,6 Mb
Release : 2022-11-28
Category : Mathematics
ISBN : 9781000771619

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Wavelet Transforms by Firdous A. Shah,Azhar Y. Tantary Pdf

Wavelet Transforms: Kith and Kin serves as an introduction to contemporary aspects of time-frequency analysis encompassing the theories of Fourier transforms, wavelet transforms and their respective offshoots. This book is the first of its kind totally devoted to the treatment of continuous signals and it systematically encompasses the theory of Fourier transforms, wavelet transforms, geometrical wavelet transforms and their ramifications. The authors intend to motivate and stimulate interest among mathematicians, computer scientists, engineers and physical, chemical and biological scientists. The text is written from the ground up with target readers being senior undergraduate and first-year graduate students and it can serve as a reference for professionals in mathematics, engineering and applied sciences. Features Flexibility in the book’s organization enables instructors to select chapters appropriate to courses of different lengths, emphasis and levels of difficulty Self-contained, the text provides an impetus to the contemporary developments in the signal processing aspects of wavelet theory at the forefront of research A large number of worked-out examples are included Every major concept is presented with explanations, limitations and subsequent developments, with emphasis on applications in science and engineering A wide range of exercises are incoporated in varying levels from elementary to challenging so readers may develop both manipulative skills in theory wavelets and deeper insight Answers and hints for selected exercises appear at the end The origin of the theory of wavelet transforms dates back to the 1980s as an outcome of the intriguing efforts of mathematicians, physicists and engineers. Owing to the lucid mathematical framework and versatile applicability, the theory of wavelet transforms is now a nucleus of shared aspirations and ideas.

Sparse Image and Signal Processing

Jean-Luc Starck,Fionn Murtagh,Jalal Fadili
Sparse Image and Signal Processing Book PDF

Author : Jean-Luc Starck,Fionn Murtagh,Jalal Fadili
Publisher : Cambridge University Press
Page : 449 pages
File Size : 44,8 Mb
Release : 2015-10-14
Category : Computers
ISBN : 9781107088061

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Sparse Image and Signal Processing by Jean-Luc Starck,Fionn Murtagh,Jalal Fadili Pdf

Presents state-of-the-art sparse and multiscale image and signal processing with applications in astronomy, biology, MRI, media, and forensics.

Multi-Sensor Image Fusion and Its Applications

Rick S. Blum,Zheng Liu
Multi Sensor Image Fusion and Its Applications Book PDF

Author : Rick S. Blum,Zheng Liu
Publisher : CRC Press
Page : 423 pages
File Size : 44,9 Mb
Release : 2018-10-03
Category : Technology & Engineering
ISBN : 9781351836951

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Multi-Sensor Image Fusion and Its Applications by Rick S. Blum,Zheng Liu Pdf

Taking another lesson from nature, the latest advances in image processing technology seek to combine image data from several diverse types of sensors in order to obtain a more accurate view of the scene: very much the same as we rely on our five senses. Multi-Sensor Image Fusion and Its Applications is the first text dedicated to the theory and practice of the registration and fusion of image data, covering such approaches as statistical methods, color-related techniques, model-based methods, and visual information display strategies. After a review of state-of-the-art image fusion techniques, the book provides an overview of fusion algorithms and fusion performance evaluation. The following chapters explore recent progress and practical applications of the proposed techniques to solving problems in such areas as medical diagnosis, surveillance and biometric systems, remote sensing, nondestructive evaluation, blurred image restoration, and image quality assessment. Recognized leaders from industry and academia contribute the chapters, reflecting the latest research trends and providing useful algorithms to aid implementation. Supplying a 28-page full-color insert, Multi-Sensor Image Fusion and Its Applications clearly demonstrates the benefits and possibilities of this revolutionary development. It provides a solid knowledge base for applying these cutting-edge techniques to new challenges and creating future advances.

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Eduardo Bayro-Corrochano,Jan-Olof Eklundh
Progress in Pattern Recognition Image Analysis Computer Vision and Applications Book PDF

Author : Eduardo Bayro-Corrochano,Jan-Olof Eklundh
Publisher : Springer
Page : 1082 pages
File Size : 52,5 Mb
Release : 2009-11-16
Category : Computers
ISBN : 9783642102684

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Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications by Eduardo Bayro-Corrochano,Jan-Olof Eklundh Pdf

The 14th Iberoamerican Congress on Pattern Recognition (CIARP 2009, C- gresoIberoAmericanodeReconocimientodePatrones)formedthelatestofanow longseriesofsuccessfulmeetingsarrangedbytherapidlygrowingIberoamerican pattern recognition community. The conference was held in Guadalajara, Jalisco, Mexico and organized by the Mexican Association for Computer Vision, Neural Computing and Robotics (MACVNR). It was sponsodred by MACVNR and ?ve other Iberoamerican PR societies. CIARP 2009 was like the previous conferences in the series supported by the International Association for Pattern Recognition (IAPR). CIARP 2009 attracted participants from all over the world presenting sta- of-the-artresearchon mathematical methods and computing techniques for p- tern recognition, computer vision, image and signal analysis, robot vision, and speech recognition, as well as on a wide range of their applications. This time the conference attracted participants from 23 countries,9 in Ibe- america, and 14 from other parts of the world. The total number of submitted papers was 187, and after a serious review process 108 papers were accepted, all of them with a scienti?c quality above overall mean rating. Sixty-four were selected as oral presentations and 44 as posters. Since 2008 the conference is almost single track, and therefore there was no real grading in quality between oral and poster papers. As an acknowledgment that CIARP has established itself as a high-quality conference, its proceedings appear in the Lecture Notes in Computer Science series. Moreover, its visibility is further enhanced by a selection of a set of papers that will be published in a special issue of the journal Pattern Recognition Letters.

Image Processing and Data Analysis

Jean-Luc Starck,Fionn Murtagh,A. Bijaoui
Image Processing and Data Analysis Book PDF

Author : Jean-Luc Starck,Fionn Murtagh,A. Bijaoui
Publisher : Cambridge University Press
Page : 301 pages
File Size : 54,9 Mb
Release : 1998
Category : Image processing
ISBN : 9780521599146

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Image Processing and Data Analysis by Jean-Luc Starck,Fionn Murtagh,A. Bijaoui Pdf

Powerful techniques have been developed in recent years for the analysis of digital data, especially the manipulation of images. This book provides an in-depth introduction to a range of these innovative, avante-garde data-processing techniques. It develops the reader's understanding of each technique and then shows with practical examples how they can be applied to improve the skills of graduate students and researchers in astronomy, electrical engineering, physics, geophysics and medical imaging. What sets this book apart from others on the subject is the complementary blend of theory and practical application. Throughout, it is copiously illustrated with real-world examples from astronomy, electrical engineering, remote sensing and medicine. It also shows how many, more traditional, methods can be enhanced by incorporating the new wavelet and multiscale methods into the processing. For graduate students and researchers already experienced in image processing and data analysis, this book provides an indispensable guide to a wide range of exciting and original data-analysis techniques.

Computational Intelligence Methods for Super-Resolution in Image Processing Applications

Anand Deshpande,Vania V. Estrela,Navid Razmjooy
Computational Intelligence Methods for Super Resolution in Image Processing Applications Book PDF

Author : Anand Deshpande,Vania V. Estrela,Navid Razmjooy
Publisher : Springer Nature
Page : 308 pages
File Size : 46,7 Mb
Release : 2021-05-28
Category : Technology & Engineering
ISBN : 9783030679217

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Computational Intelligence Methods for Super-Resolution in Image Processing Applications by Anand Deshpande,Vania V. Estrela,Navid Razmjooy Pdf

This book explores the application of deep learning techniques within a particularly difficult computational type of computer vision (CV) problem ─ super-resolution (SR). The authors present and discuss ways to apply computational intelligence (CI) methods to SR. The volume also explores the possibility of using different kinds of CV techniques to develop and enhance the tools/processes related to SR. The application areas covered include biomedical engineering, healthcare applications, medicine, histology, and material science. The book will be a valuable reference for anyone concerned with multiple multimodal images, especially professionals working in remote sensing, nanotechnology and immunology at research institutes, healthcare facilities, biotechnology institutions, agribusiness services, veterinary facilities, and universities.

Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis

Nilanjan Dey
Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis Book PDF

Author : Nilanjan Dey
Publisher : Academic Press
Page : 218 pages
File Size : 43,7 Mb
Release : 2019-07-31
Category : Science
ISBN : 9780128180051

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Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis by Nilanjan Dey Pdf

Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis covers the most current advances on how to apply classification techniques to a wide variety of clinical applications that are appropriate for researchers and biomedical engineers in the areas of machine learning, deep learning, data analysis, data management and computer-aided diagnosis (CAD) systems design. The book covers several complex image classification problems using pattern recognition methods, including Artificial Neural Networks (ANN), Support Vector Machines (SVM), Bayesian Networks (BN) and deep learning. Further, numerous data mining techniques are discussed, as they have proven to be good classifiers for medical images. Examines the methodology of classification of medical images that covers the taxonomy of both supervised and unsupervised models, algorithms, applications and challenges Discusses recent advances in Artificial Neural Networks, machine learning, and deep learning in clinical applications Introduces several techniques for medical image processing and analysis for CAD systems design

Sparse and Redundant Representations

Michael Elad
Sparse and Redundant Representations Book PDF

Author : Michael Elad
Publisher : Springer Science & Business Media
Page : 376 pages
File Size : 46,8 Mb
Release : 2010-08-12
Category : Mathematics
ISBN : 9781441970114

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Sparse and Redundant Representations by Michael Elad Pdf

A long long time ago, echoing philosophical and aesthetic principles that existed since antiquity, William of Ockham enounced the principle of parsimony, better known today as Ockham’s razor: “Entities should not be multiplied without neces sity. ” This principle enabled scientists to select the ”best” physical laws and theories to explain the workings of the Universe and continued to guide scienti?c research, leadingtobeautifulresultsliketheminimaldescriptionlength approachtostatistical inference and the related Kolmogorov complexity approach to pattern recognition. However, notions of complexity and description length are subjective concepts anddependonthelanguage“spoken”whenpresentingideasandresults. The?eldof sparse representations, that recently underwent a Big Bang like expansion, explic itly deals with the Yin Yang interplay between the parsimony of descriptions and the “language” or “dictionary” used in them, and it became an extremely exciting area of investigation. It already yielded a rich crop of mathematically pleasing, deep and beautiful results that quickly translated into a wealth of practical engineering applications. You are holding in your hands the ?rst guide book to Sparseland, and I am sure you’ll ?nd in it both familiar and new landscapes to see and admire, as well as ex cellent pointers that will help you ?nd further valuable treasures. Enjoy the journey to Sparseland! Haifa, Israel, December 2009 Alfred M. Bruckstein vii Preface This book was originally written to serve as the material for an advanced one semester (fourteen 2 hour lectures) graduate course for engineering students at the Technion, Israel.

Sparse Image and Signal Processing

Jean-Luc Starck,Fionn Murtagh,Jalal M. Fadili
Sparse Image and Signal Processing Book PDF

Author : Jean-Luc Starck,Fionn Murtagh,Jalal M. Fadili
Publisher : Cambridge University Press
Page : 351 pages
File Size : 53,6 Mb
Release : 2010-05-10
Category : Computers
ISBN : 9781139642835

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Sparse Image and Signal Processing by Jean-Luc Starck,Fionn Murtagh,Jalal M. Fadili Pdf

This book presents the state of the art in sparse and multiscale image and signal processing, covering linear multiscale transforms, such as wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms based on the median and mathematical morphology operators. Recent concepts of sparsity and morphological diversity are described and exploited for various problems such as denoising, inverse problem regularization, sparse signal decomposition, blind source separation, and compressed sensing. This book weds theory and practice in examining applications in areas such as astronomy, biology, physics, digital media, and forensics. A final chapter explores a paradigm shift in signal processing, showing that previous limits to information sampling and extraction can be overcome in very significant ways. Matlab and IDL code accompany these methods and applications to reproduce the experiments and illustrate the reasoning and methodology of the research are available for download at the associated web site.

Image Analysis and Recognition

Mohamed Kamel,Aurélio Campilho
Image Analysis and Recognition Book PDF

Author : Mohamed Kamel,Aurélio Campilho
Publisher : Springer
Page : 1314 pages
File Size : 47,5 Mb
Release : 2007-08-30
Category : Computers
ISBN : 9783540742609

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Image Analysis and Recognition by Mohamed Kamel,Aurélio Campilho Pdf

The refereed proceedings of the 4th International Conference on Image Analysis and Recognition are featured in this volume. Seventy-one full papers are presented along with forty-four poster papers. These papers cover image restoration and enhancement, image and video processing and analysis, image segmentation, computer vision, pattern recognition for image analysis, shape and matching, motion analysis, tracking, and more.

Academic Press Library in Signal Processing

Paulo S.R. Diniz,Patrick A. Naylor,Johan Suykens
Academic Press Library in Signal Processing Book PDF

Author : Paulo S.R. Diniz,Patrick A. Naylor,Johan Suykens
Publisher : Academic Press
Page : 1559 pages
File Size : 42,7 Mb
Release : 2013-09-21
Category : Technology & Engineering
ISBN : 9780123972262

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Academic Press Library in Signal Processing by Paulo S.R. Diniz,Patrick A. Naylor,Johan Suykens Pdf

This first volume, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research topics and technologies in machine learning and advanced signal processing theory. With this reference source you will: Quickly grasp a new area of research Understand the underlying principles of a topic and its application Ascertain how a topic relates to other areas and learn of the research issues yet to be resolved Quick tutorial reviews of important and emerging topics of research in machine learning Presents core principles in signal processing theory and shows their applications Reference content on core principles, technologies, algorithms and applications Comprehensive references to journal articles and other literature on which to build further, more specific and detailed knowledge Edited by leading people in the field who, through their reputation, have been able to commission experts to write on a particular topic

Handbook of Mathematical Methods in Imaging

Otmar Scherzer
Handbook of Mathematical Methods in Imaging Book PDF

Author : Otmar Scherzer
Publisher : Springer Science & Business Media
Page : 1626 pages
File Size : 44,9 Mb
Release : 2010-11-23
Category : Mathematics
ISBN : 9780387929194

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Handbook of Mathematical Methods in Imaging by Otmar Scherzer Pdf

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.