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Signal And Image Processing Sourcebook
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Book Synopsis Signal And Image Processing Sourcebook by : Robert Libbey
Download or read book Signal And Image Processing Sourcebook written by Robert Libbey and published by Springer Science & Business Media. This book was released on 1994-03-31 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: The technological background established in these early chapters - especially in the production and processing of television images - vividly illuminates the development of the sophisticated image processing employed in contemporary radar, space exploration, and medical radiological imaging. Continuing this integrated approach, the author links the fundamentals of analog telephony to the development of modern digital signal processing in telecommunications and networking. A detailed account of microprocessor technology further integrates the overall picture of the field of contemporary signal and image processing. Logically, the discussion is extended to the aspects of signal processing involved in artificial intelligence and neural networks.
Book Synopsis Signal And Image Processing Sourcebook by : Robert Libbey
Download or read book Signal And Image Processing Sourcebook written by Robert Libbey and published by Springer. This book was released on 1994-03-31 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Digital Signal and Image Processing by : Tamal Bose
Download or read book Digital Signal and Image Processing written by Tamal Bose and published by John Wiley & Sons. This book was released on 2004 with total page 728 pages. Available in PDF, EPUB and Kindle. Book excerpt: An advanced textbook, this volume explores signal processing with an emphasis on digital signal and image processing and the techniques employed.
Book Synopsis Signal and Image Processing for Biometrics by : Amine Nait-Ali
Download or read book Signal and Image Processing for Biometrics written by Amine Nait-Ali and published by John Wiley & Sons. This book was released on 2012-12-17 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to deal with biometrics in terms of signal and image processing methods and algorithms. This will help engineers and students working in digital signal and image processing deal with the implementation of such specific algorithms. It discusses numerous signal and image processing techniques that are very often used in biometric applications. In particular, algorithms related to hand feature extraction, speech recognition, 2D/3D face biometrics, video surveillance and other interesting approaches are presented. Moreover, in some chapters, Matlab codes are provided so that readers can easily reproduce some basic simulation results. This book is suitable for final-year undergraduate students, postgraduate students, engineers and researchers in the field of computer engineering and applied digital signal and image processing. 1. Introduction to Biometrics, Bernadette Dorizzi. 2. Introduction to 2D Face Recognition, Amine Nait-Ali and Dalila Cherifi. 3. Facial Soft Biometrics for Person Recognition, Antitza Dantcheva, Christelle Yemdji, Petros Elia and Jean-Luc Dugelay. 4. Modeling, Reconstruction and Tracking for Face Recognition, Catherine Herold, Vincent Despiegel, Stéphane Gentric, Séverine Dubuisson and Isabelle Bloch. 5. 3D Face Recognition, Mohsen Ardabilian, Przemyslaw Szeptycki, Di Huang and Liming Chen. 6. Introduction to Iris Biometrics, Kamel Aloui, Amine Nait-Ali, Régis Fournier and Saber Naceur. 7. Voice Biometrics: Speaker Verification and Identification, Foezur Chowdhury, Sid-Ahmed Selouani and Douglas O’Shaughnessy. 8. Introduction to Hand Biometrics, Régis Fournier and Amine Nait-Ali. 9. Multibiometrics, Romain Giot, Baptiste Hemery, Estelle Cherrier and Christophe Rosenberger. 10. Hidden Biometrics, Amine Nait-Ali, Régis Fournier, Kamel Aloui and Noureddine Belgacem. 11. Performance Evaluation of Biometric Systems, Mohamad El-Abed, Romain Giot, Baptiste Hemery, Julien Mahier and Christophe Rosenberger. 12. Classification Techniques for Biometrics, Amel Bouchemha, Chérif Nait-Hamoud, Amine Nait-Ali and Régis Fournier. 13. Data Cryptography, Islam Naveed and William Puech. 14. Visual Data Protection, Islam Naveed and William Puech. 15. Biometrics in Forensics, Guillaume Galou and Christophe Lambert.
Book Synopsis Signal and Image Processing with Neural Networks by : Timothy Masters
Download or read book Signal and Image Processing with Neural Networks written by Timothy Masters and published by . This book was released on 1994-07-25 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first book to offer practical applications of neural networks to solve problems in digital signal processing and imaging. A highly practical book with a minimum of math and a wealth of examples. Disk includes a complete program for training, testing, and using neural networks along with C++ subroutines for all techniques discussed and source for the book's example code.
Book Synopsis Sparse Image and Signal Processing by : Jean-Luc Starck
Download or read book Sparse Image and Signal Processing written by Jean-Luc Starck and published by Cambridge University Press. This book was released on 2010-05-10 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Digital Image Signal Processing by : Friedrich M. Wahl
Download or read book Digital Image Signal Processing written by Friedrich M. Wahl and published by . This book was released on 1987 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Signal Processing for Computer Vision by : Gösta H. Granlund
Download or read book Signal Processing for Computer Vision written by Gösta H. Granlund and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: Signal Processing for Computer Vision is a unique and thorough treatment of the signal processing aspects of filters and operators for low-level computer vision. Computer vision has progressed considerably over recent years. From methods only applicable to simple images, it has developed to deal with increasingly complex scenes, volumes and time sequences. A substantial part of this book deals with the problem of designing models that can be used for several purposes within computer vision. These partial models have some general properties of invariance generation and generality in model generation. Signal Processing for Computer Vision is the first book to give a unified treatment of representation and filtering of higher order data, such as vectors and tensors in multidimensional space. Included is a systematic organisation for the implementation of complex models in a hierarchical modular structure and novel material on adaptive filtering using tensor data representation. Signal Processing for Computer Vision is intended for final year undergraduate and graduate students as well as engineers and researchers in the field of computer vision and image processing.
Book Synopsis Optical and Digital Image Processing by : Gabriel Cristobal
Download or read book Optical and Digital Image Processing written by Gabriel Cristobal and published by John Wiley & Sons. This book was released on 2013-02-12 with total page 988 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, Moore's law has fostered the steady growth of the field of digital image processing, though the computational complexity remains a problem for most of the digital image processing applications. In parallel, the research domain of optical image processing has matured, potentially bypassing the problems digital approaches were suffering and bringing new applications. The advancement of technology calls for applications and knowledge at the intersection of both areas but there is a clear knowledge gap between the digital signal processing and the optical processing communities. This book covers the fundamental basis of the optical and image processing techniques by integrating contributions from both optical and digital research communities to solve current application bottlenecks, and give rise to new applications and solutions. Besides focusing on joint research, it also aims at disseminating the knowledge existing in both domains. Applications covered include image restoration, medical imaging, surveillance, holography, etc... "a very good book that deserves to be on the bookshelf of a serious student or scientist working in these areas." Source: Optics and Photonics News
Download or read book Image Processing written by Yujin Zhang and published by Walter de Gruyter GmbH & Co KG. This book was released on 2017-08-07 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: This graduate textbook explains image geometry, and elaborates on image enhancement in spatial and frequency domain, unconstrained and constrained restoration and restoration from projection, and discusses various coding technologies such as predictive coding and transform coding. Rich in examples and exercises, it prepares electrical engineering and computer science students for further studies on image analysis and understanding.
Book Synopsis Two-dimensional Signal and Image Processing by : Jae S. Lim
Download or read book Two-dimensional Signal and Image Processing written by Jae S. Lim and published by . This book was released on 1990 with total page 694 pages. Available in PDF, EPUB and Kindle. Book excerpt: New to P-H Signal Processing Series (Alan Oppenheim, Series Ed) this text covers the principles and applications of "multidimensional" and "image" digital signal processing. For Sr/grad level courses in image processing in EE departments.
Book Synopsis Discrete Signals and Inverse Problems by : J. Carlos Santamarina
Download or read book Discrete Signals and Inverse Problems written by J. Carlos Santamarina and published by John Wiley & Sons. This book was released on 2005-12-13 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discrete Signals and Inverse Problems examines fundamental concepts necessary to engineers and scientists working with discrete signal processing and inverse problem solving, and places emphasis on the clear understanding of algorithms within the context of application needs. Based on the original ‘Introduction to Discrete Signals and Inverse Problems in Civil Engineering’, this expanded and enriched version: combines discrete signal processing and inverse problem solving in one book covers the most versatile tools that are needed to process engineering and scientific data presents step-by-step ‘implementation procedures’ for the most relevant algorithms provides instructive figures, solved examples and insightful exercises Discrete Signals and Inverse Problems is essential reading for experimental researchers and practicing engineers in civil, mechanical and electrical engineering, non-destructive testing and instrumentation. This book is also an excellent reference for advanced undergraduate students and graduate students in engineering and science.
Book Synopsis Digital Signal and Image Processing by : Tamal Bose
Download or read book Digital Signal and Image Processing written by Tamal Bose and published by . This book was released on 2004 with total page 706 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Feature Extraction & Image Processing by : Mark Nixon
Download or read book Feature Extraction & Image Processing written by Mark Nixon and published by Elsevier. This book was released on 2008-01-08 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whilst other books cover a broad range of topics, Feature Extraction and Image Processing takes one of the prime targets of applied computer vision, feature extraction, and uses it to provide an essential guide to the implementation of image processing and computer vision techniques. Acting as both a source of reference and a student text, the book explains techniques and fundamentals in a clear and concise manner and helps readers to develop working techniques, with usable code provided throughout. The new edition is updated throughout in line with developments in the field, and is revised to focus on mathematical programming in Matlab. Essential reading for engineers and students working in this cutting edge field Ideal module text and background reference for courses in image processing and computer vision
Book Synopsis Feature Extraction and Image Processing by : Mark Nixon
Download or read book Feature Extraction and Image Processing written by Mark Nixon and published by Elsevier. This book was released on 2013-10-22 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focusing on feature extraction while also covering issues and techniques such as image acquisition, sampling theory, point operations and low-level feature extraction, the authors have a clear and coherent approach that will appeal to a wide range of students and professionals. Ideal module text for courses in artificial intelligence, image processing and computer vision Essential reading for engineers and academics working in this cutting-edge field Supported by free software on a companion website
Book Synopsis Digital Image Processing by : D. Sundararajan
Download or read book Digital Image Processing written by D. Sundararajan and published by . This book was released on 2017 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers readers an essential introduction to the fundamentals of digital image processing. Pursuing a signal processing and algorithmic approach, it makes the fundamentals of digital image processing accessible and easy to learn. It is written in a clear and concise manner with a large number of 4 x 4 and 8 x 8 examples, figures and detailed explanations. Each concept is developed from the basic principles and described in detail with equal emphasis on theory and practice. The book is accompanied by a companion website that provides several MATLAB programs for the implementation of image processing algorithms. The book also offers comprehensive coverage of the following topics: Enhancement, Transform processing, Restoration, Registration, Reconstruction from projections, Morphological image processing, Edge detection, Object representation and classification, Compression, and Color processing.
Book Synopsis Sensing Technology: Current Status and Future Trends IV by : Alex Mason
Download or read book Sensing Technology: Current Status and Future Trends IV written by Alex Mason and published by Springer. This book was released on 2014-11-15 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is written for academic and industry professionals working in the field of sensing, instrumentation and related fields, and is positioned to give a snapshot of the current state of the art in sensing technology, particularly from the applied perspective. The book is intended to give broad overview of the latest developments, in addition to discussing the process through which researchers go through in order to develop sensors, or related systems, which will become more widespread in the future.
