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Tinku Acharya JPEG2000 Standard for Image Compression


JPEG2000 Standard for Image Compression presents readers with the basic background to this multimedia compression technique and prepares the reader for a detailed understanding of the JPEG2000 standard, using both the underlying theory and the principles behind the algorithms of the JPEG2000 standard for scalable image compression. It introduces the VLSI architectures and algorithms for implementation of the JPEG2000 standard in hardware (not available in the current literature), an important technology for a number of image processing applications and devices such as digital camera, color fax, printer, and scanners.

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Tinku Acharya Image Processing


Image processing-from basics to advanced applications Learn how to master image processing and compression with this outstanding state-of-the-art reference. From fundamentals to sophisticated applications, Image Processing: Principles and Applications covers multiple topics and provides a fresh perspective on future directions and innovations in the field, including: * Image transformation techniques, including wavelet transformation and developments * Image enhancement and restoration, including noise modeling and filtering * Segmentation schemes, and classification and recognition of objects * Texture and shape analysis techniques * Fuzzy set theoretical approaches in image processing, neural networks, etc. * Content-based image retrieval and image mining * Biomedical image analysis and interpretation, including biometric algorithms such as face recognition and signature verification * Remotely sensed images and their applications * Principles and applications of dynamic scene analysis and moving object detection and tracking * Fundamentals of image compression, including the JPEG standard and the new JPEG2000 standard Additional features include problems and solutions with each chapter to help you apply the theory and techniques, as well as bibliographies for researching specialized topics. With its extensive use of examples and illustrative figures, this is a superior title for students and practitioners in computer science, wireless and multimedia communications, and engineering.

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J. Parker R. Algorithms for Image Processing and Computer Vision


A cookbook of algorithms for common image processing applications Thanks to advances in computer hardware and software, algorithms have been developed that support sophisticated image processing without requiring an extensive background in mathematics. This bestselling book has been fully updated with the newest of these, including 2D vision methods in content-based searches and the use of graphics cards as image processing computational aids. It’s an ideal reference for software engineers and developers, advanced programmers, graphics programmers, scientists, and other specialists who require highly specialized image processing. Algorithms now exist for a wide variety of sophisticated image processing applications required by software engineers and developers, advanced programmers, graphics programmers, scientists, and related specialists This bestselling book has been completely updated to include the latest algorithms, including 2D vision methods in content-based searches, details on modern classifier methods, and graphics cards used as image processing computational aids Saves hours of mathematical calculating by using distributed processing and GPU programming, and gives non-mathematicians the shortcuts needed to program relatively sophisticated applications. Algorithms for Image Processing and Computer Vision, 2nd Edition provides the tools to speed development of image processing applications.

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Группа авторов Image Processing and Jump Regression Analysis


The first text to bridge the gap between image processing and jump regression analysis Recent statistical tools developed to estimate jump curves and surfaces have broad applications, specifically in the area of image processing. Often, significant differences in technical terminologies make communication between the disciplines of image processing and jump regression analysis difficult. In easy-to-understand language, Image Processing and Jump Regression Analysis builds a bridge between the worlds of computer graphics and statistics by addressing both the connections and the differences between these two disciplines. The author provides a systematic analysis of the methodology behind nonparametric jump regression analysis by outlining procedures that are easy to use, simple to compute, and have proven statistical theory behind them. Key topics include: Conventional smoothing procedures Estimation of jump regression curves Estimation of jump location curves of regression surfaces Jump-preserving surface reconstruction based on local smoothing Edge detection in image processing Edge-preserving image restoration With mathematical proofs kept to a minimum, this book is uniquely accessible to a broad readership. It may be used as a primary text in nonparametric regression analysis and image processing as well as a reference guide for academicians and industry professionals focused on image processing or curve/surface estimation.

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Andreas Koschan Digital Color Image Processing


An introduction to color in three-dimensional image processing and the emerging area of multi-spectral image processing The importance of color information in digital image processing is greater than ever. However, the transition from scalar to vector-valued image functions has not yet been generally covered in most textbooks. Now, Digital Color Image Processing fills this pressing need with a detailed introduction to this important topic. In four comprehensive sections, this book covers: The fundamentals and requirements for color image processing from a vector-valued viewpoint Techniques for preprocessing color images Three-dimensional scene analysis using color information, as well as the emerging area of multi-spectral imaging Applications of color image processing, presented via the examination of two case studies In addition to introducing readers to important new technologies in the field, Digital Color Image Processing also contains novel topics such as: techniques for improving three-dimensional reconstruction, three-dimensional computer vision, and emerging areas of safety and security applications in luggage inspection and video surveillance of high-security facilities. Complete with full-color illustrations and two applications chapters, Digital Color Image Processing is the only book that covers the breadth of the subject under one convenient cover. It is written at a level that is accessible for first- and second-year graduate students in electrical and computer engineering and computer science courses, and that is also appropriate for researchers who wish to extend their knowledge in the area of color image processing.

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Frank Shih Y. Image Processing and Pattern Recognition. Fundamentals and Techniques


A comprehensive guide to the essential principles of image processing and pattern recognition Techniques and applications in the areas of image processing and pattern recognition are growing at an unprecedented rate. Containing the latest state-of-the-art developments in the field, Image Processing and Pattern Recognition presents clear explanations of the fundamentals as well as the most recent applications. It explains the essential principles so readers will not only be able to easily implement the algorithms and techniques, but also lead themselves to discover new problems and applications. Unlike other books on the subject, this volume presents numerous fundamental and advanced image processing algorithms and pattern recognition techniques to illustrate the framework. Scores of graphs and examples, technical assistance, and practical tools illustrate the basic principles and help simplify the problems, allowing students as well as professionals to easily grasp even complicated theories. It also features unique coverage of the most interesting developments and updated techniques, such as image watermarking, digital steganography, document processing and classification, solar image processing and event classification, 3-D Euclidean distance transformation, shortest path planning, soft morphology, recursive morphology, regulated morphology, and sweep morphology. Additional topics include enhancement and segmentation techniques, active learning, feature extraction, neural networks, and fuzzy logic. Featuring supplemental materials for instructors and students, Image Processing and Pattern Recognition is designed for undergraduate seniors and graduate students, engineering and scientific researchers, and professionals who work in signal processing, image processing, pattern recognition, information security, document processing, multimedia systems, and solar physics.

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Frank Shih Y. Image Processing and Pattern Recognition. Fundamentals and Techniques


A comprehensive guide to the essential principles of image processing and pattern recognition Techniques and applications in the areas of image processing and pattern recognition are growing at an unprecedented rate. Containing the latest state-of-the-art developments in the field, Image Processing and Pattern Recognition presents clear explanations of the fundamentals as well as the most recent applications. It explains the essential principles so readers will not only be able to easily implement the algorithms and techniques, but also lead themselves to discover new problems and applications. Unlike other books on the subject, this volume presents numerous fundamental and advanced image processing algorithms and pattern recognition techniques to illustrate the framework. Scores of graphs and examples, technical assistance, and practical tools illustrate the basic principles and help simplify the problems, allowing students as well as professionals to easily grasp even complicated theories. It also features unique coverage of the most interesting developments and updated techniques, such as image watermarking, digital steganography, document processing and classification, solar image processing and event classification, 3-D Euclidean distance transformation, shortest path planning, soft morphology, recursive morphology, regulated morphology, and sweep morphology. Additional topics include enhancement and segmentation techniques, active learning, feature extraction, neural networks, and fuzzy logic. Featuring supplemental materials for instructors and students, Image Processing and Pattern Recognition is designed for undergraduate seniors and graduate students, engineering and scientific researchers, and professionals who work in signal processing, image processing, pattern recognition, information security, document processing, multimedia systems, and solar physics.

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Maria M. P. Petrou Image Processing

Rangaraj Rangayyan M. Digital Image Processing for Ophthalmology

Qing Xu Information Theory Tools for Image Processing

Image Processing: Principles and Applications | Tinku ...

Tinku Acharya, Ajoy K. Ray There is a growing demand of image processing in diverse application areas, such as multimedia computing, secured image data communication, biomedical imaging, biometrics, remote sensing, texture understanding, pattern recognition, content-based image retrieval, compression, and so on.

Tinku ACHARYA | PhD | Videonetics Technology, Kolkata ...

Dr. Acharya is a Fellow of IEEE, contributed to over 150 patents, 100 papers and 4 books, developed the image processing chain to map into small foot-print silicon for Intel’s first Webcam. His...

Image Processing: Principles and Applications | Tinku ...

Tinku Acharya, Ajoy K. Ray. Image processing-from basics to advanced applications Learn how to master image processing and compression with this outstanding state-of-the-art reference. From fundamentals to sophisticated applications, Image Processing: Principles and Applications covers multiple topics and provides a fresh perspective on future directions and innovations in the field, including ...

Image Processing: Principles and Applications - Tinku ...

TINKU ACHARYA, PhD, is Chief Technology Officer, Avisere, Inc., Tucson, Arizona. Dr. Acharya is also Adjunct Professor, Department of Electrical Engineering, Arizona State University. He is the inventor of ninety-seven awarded U.S. and European patents and coauthor of Data Mining: Multimedia, Soft Computing, and Bioinformatics (Wiley), Information Technology, and JPEG2000 Standard for Image ...

Dr Tinku Acharya profile | Videonetics | The Future of ...

Dr. Acharya served in the US National Body of JPEG2000 standard committee (1998-2002) in International Standard Organization (ISO) for definition of this scalable image compression standard. His research interests are in various domains including intelligent video analytics, intelligent surveillance, image processing, computer vision, pattern recognition and related VLSI and systems architectures.

Tinku Acharya - IEEE Xplore Author Details

Tinku Acharya (M'96–SM'01) received the B.Tech and M.Tech degrees from the University of Calcutta, Kolkata, India, in 1987 and 1989, respectively, and the Ph.D. degree from the University of Central Florida, Orlando, in 1994, all in computer science. He is a Co-Founder and Chief Technology Officer of Avisere Inc., Tucson, AZ. He is also an Adjunct Professor in the Department of Electrical ...

Tinku Acharya - INAE Expert Pool Search

Dr. Acharya has made pioneering contributions in diverse areas resulted in several new products in Electronic Imaging and Multimedia Computing. He developed the key `image processing chain' and related algorithms to pragmatically map them into a small foot-print silicon for the first dual-mode digital camera (the first 'Webcam' from Intel). His works significantly influenced the design of ...

(PDF) [Tinku Acharya, Ajoy K. Ray] Image Processing | Huan ...

[Tinku Acharya, Ajoy K. Ray] Image Processing [Tinku Acharya, Ajoy K. Ray] Image Processing . Huan Nguyen. Download with Google Download with Facebook. or. Create a free account to download. Download Full PDF Package. This paper. A short summary of this paper. 37 Full PDFs related to this paper. READ PAPER [Tinku Acharya, Ajoy K. Ray] Image Processing . Download [Tinku Acharya, Ajoy K. Ray ...

Dr. Tinku Acharya is elevated to IEEE Fellow for his ...

Dr. Tinku Acharya is elevated to IEEE Fellow for his contribution to image processing. Intellectual Ventures India, director, Dr. Tinku Acharya is elevated to IEEE Fellow for his contributions to the advancement of very large scale integration algorithms and architectures for electronic image processing. Dr. Acharya's contribution involved developing a novel 'image processing chain' for the ...

Dr. Tinku Acharya, FIEEE, FNAE - Founder & Managing ...

View Dr. Tinku Acharya, FIEEE, FNAE’S profile on LinkedIn, the world’s largest professional community. Dr. Tinku has 7 jobs listed on their profile. See the complete profile on LinkedIn and discover Dr. Tinku’s connections and jobs at similar companies.

eBook: Image Processing von Tinku Acharya | ISBN 978-0-471 ...

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Tinku Acharya Inventions, Patents and Patent Applications ...

Tinku Acharya has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO). Architecture for processing fingerprint images. Patent number: 7133575 Abstract: Embodiments of an architecture for processing gray-level images is ...

(PDF) Image Processing - Principles and Applications ...

Tinku Acharya. PDF. Download Free PDF. Free PDF. Download PDF. PDF. PDF. Download PDF Package. PDF. Premium PDF Package. Download Full PDF Package. This paper. A short summary of this paper . 37 Full PDFs related to this paper. This book covers the classical methods in image processing and introduces many recent applications. The described applications span a broad range of fields, including ...

Image Up-Sampling Using Discrete Wavelet Transform ...

Image up-sampling is found to be a very effective technique useful in today’s digital image processing applications or rendering devices. In image up-sampling, an image is enhanced from a lower resolution to a higher resolution with the degree of enhancement depending upon application requirements. It is known that the traditional interpolation based...

Image Up-Sampling Using Discrete Wavelet Transform

Image Up-Sampling Using Discrete Wavelet Transform Ping-Sing Tsai1, Tinku Acharya2 1Department of Computer Science, University of Texas – Pan American, Texas, USA 2Department of Electrical Engineering, Arizona State University, Tempe, Arizona, USA Abstract Image up-sampling is found to be a very effective technique useful in today’s digital image processing

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Image Processing: Principles and Applications - Tinku ...

Image processing-from basics to advanced applications Learn how to master image processing and compression with this outstanding state-of-the-art reference. From fundamentals to sophisticated applications, Image Processing: Principles and Applications covers multiple topics and provides a fresh perspective on future directions and innovations in the field, including: * Image transformation ...

Image Processing - Wiley Online Library

Acharya, Tinku. Image processing : principles and applications / Tinku Acharya, Ajoy K. Ray. “A Wiley-Interscience Publication.” Includes bibliographical references and index. ISBN-13 978-0-471-71998-4 (cloth : alk. paper) ISBN-10 0-471-71998-6 (cloth : alk. paper) TA1637.A3 2005 621.36‘74~22 2005005170 p. cm. 1. Image processing. I. Ray, Ajoy K., 1954- 11. Title. Printed in the United ...

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Image Processing | Wiley Online Books

TINKU ACHARYA, PhD, is Chief Technology Officer, Avisere, Inc., Tucson, Arizona. Dr. Acharya is also Adjunct Professor, Department of Electrical Engineering, Arizona State University. He is the inventor of ninety-seven awarded U.S. and European patents and coauthor of Data Mining: Multimedia, Soft Computing, and Bioinformatics (Wiley), Information Technology, and JPEG2000 Standard for Image ...

Wiley: Image Processing: Principles and Applications ...

TINKU ACHARYA, PhD, is Chief Technology Officer, Avisere, Inc., Tucson, Arizona. Dr. Acharya is also Adjunct Professor, Department of Electrical Engineering, Arizona State University. He is the inventor of ninety-seven awarded U.S. and European patents and coauthor of Data Mining: Multimedia, Soft Computing, and Bioinformatics (Wiley), Information Technology, and JPEG2000 Standard for Image ...

eBook: JPEG2000 Standard for Image Compression von Tinku ...

JPEG2000 Standard for Image Compression von Tinku Acharya, Ping-Sing Tsai (ISBN 978-0-471-65375-2) online kaufen | Sofort-Download - lehmanns.de

Image Processing: Principles and Applications von Tinku ...

This title provides a fresh look at Image Processing, presenting the basic principles and the recent advancements and its practical applications (image security, scene analysis, content based image retrieval, machine learning techniques, remotely sensed image interpretation, medical image processing techniques, latest image coding and compression standards, etc.

Tinku Acharya: free download. Ebooks library. On-line ...

Tinku Acharya: free download. Ebooks library. On-line books store on Z-Library | B–OK. Download books for free. Find books. 4,967,913 Books ; 77,466,184 Articles ; ZLibrary Home; Toggle navigation. Sign in . Login; Registration; Fundraising; Books; Add book; Categories; Most Popular; Recently Added; Z-Library Project; Top Z-Librarians; Blog; Z Library. Part of Z-Library project. The world's ...

Image Processing (eBook, PDF) von Tinku Acharya; Ajoy K ...

Image processing-from basics to advanced applications Learn how to master image processing and compression with thisoutstanding state-of-the-art reference.

JPEG2000 Standard for Image Compression ebook | Weltbild.de

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US6738520B1 - Method of compressing an image - Google Patents

Tinku Acharya: Method of performing huffman decoding US20030210164A1 (en) * 2000-10-31: 2003-11-13: Tinku Acharya: Method of generating Huffman code length information US6999629B1 (en) * 1999-05-26: 2006-02-14: France Telecom And Telediffusion De France: Image coding/decoding method US7003169B1 (en) *

Computational Foundations of Image Interpolation Algorithms

Image Interpolation Algorithms Tinku Acharya1, Ping-Sing Tsai2 1Avisere Inc., Tucson, Arizona & Department of Electrical Engineering Arizona State University, Tempe, Arizona

A Review of Image Compression Techniques - مجلة أوراق ثقافية

Image compression is broadly classified into lossless and lossy image compression [2]. 2-1 Lossless Compression Techniques. The feature of the lossless compression technique is that the original image can be perfectly recovered from the compressed image. It is also known as entropy coding since it uses decomposition techniques to eliminate or minimize redundancy. Lossless compression is mainly ...

JPEG2000 Standard for Image Compression

Acharya, Tinku. JPEG2000 standard for image compression : concepts, algorithms and VLSl architecturcs / Tinku Acharya, Ping-Sing Tsai. p. cm. “A Wiley-Interscience publication.” Includes bibliographical references and index. ISBN 0-471-48422-9 (cloth) I. JPEG (Image coding standard) 2. Image compression. I. Tsai. Ping-Sing, 1962- 11. Title. TK6680.5.A25 2004 006.6-dc22 2004042256 Printed ...

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JPEG2000 Standard for Image Compression: Concepts ...

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Dr. Tinku Acharya Profile

Search the leading research in optics and photonics applied research from SPIE journals, conference proceedings and presentations, and eBooks

Image Processing: Principles and Applications | Wiley

TINKU ACHARYA, PhD, is Chief Technology Officer, Avisere, Inc., Tucson, Arizona. Dr. Acharya is also Adjunct Professor, Department of Electrical Engineering, Arizona State University. He is the inventor of ninety-seven awarded U.S. and European patents and coauthor of Data Mining: Multimedia, Soft Computing, and Bioinformatics (Wiley), Information Technology, and JPEG2000 Standard for Image ...

Parallel butterfly algorithm and VLSI architectures for ...

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JPEG 2000 Standard for Image Compression : Concepts ...

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DBLP: Tinku Acharya - www09.sigmod.org

Tinku Acharya List of publications from the DBLP Bibliography Server - FAQ. Coauthor Index - Ask others: ACM DL/Guide - CiteSeer - CSB - Google - MSN - Yahoo. 2008; 31: EE: Suman K. Mitra, Malay Kumar Kundu, C. A. Murthy, Bhargab B. Bhattacharya, Tinku Acharya: A New Probabilistic Approach for Fractal Based Image Compression. Fundam. Inform. 87(3-4): 417-433 (2008) 2007; 30: EE: Sabyasachi Dey ...

Digital Image Processing Principles And Applications

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Physik-Department, TUM | Modul PH2181 von WS 2020/1

Bildverarbeitung in der Physik Image Processing in Physics Modul PH2181. Diese Modulbeschreibung enthält neben den eigentlichen Beschreibungen der Inhalte, Lernergebnisse, Lehr- und Lernmethoden und Prüfungsformen auch Verweise auf die aktuellen Lehrveranstaltungen und Termine für die Modulprüfung in den jeweiligen Abschnitten. Modulversion vom WS 2020/1. Von dieser Modulbeschreibung gibt ...

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The item JPEG2000 standard for image compression : concepts, algorithms and VLSI architectures, Tinku Acharya, Ping-Sing Tsai represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in JPEG2000 standard for image compression : concepts, algorithms and VLSI architectures, Tinku Acharya, Ping-Sing

Image Processing - download.e-bookshelf.de

Acharya, Tinku. Image processing : principles and applications / Tinku Acharya, Ajoy K. Ray. “A Wiley-Interscience Publication.” Includes bibliographical references and index. ISBN-13 978-0-471-71998-4 (cloth : alk. paper) ISBN-10 0-471-71998-6 (cloth : alk. paper) TA1637.A3 2005 621.36‘74~22 2005005170 p. cm. 1. Image processing. I. Ray, Ajoy K., 1954- 11. Title. Printed in the United ...

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digital image processing principles and applications Nov 22, 2020 Posted By Nora Roberts Media Publishing TEXT ID 852799ac Online PDF Ebook Epub Library divided into three main parts and covers dsp principles of digital image processing fundamental techniques authors burger wilhelm burge mark j free preview concentrates

Method for color correction with noise consideration

Yap-Peng Tan, Tinku Acharya. Author Affiliations + Proceedings Volume 3963, Color Imaging: Device-Independent ... Smart image selection algorithm in analysis plane of the optical... Proceedings of SPIE (May 16 2017) Hot-metal detectors and crop shear optimization Proceedings of SPIE (September 22 1993) Appearance consistent projector tolerant of various colored projection surfaces and ...

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IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART C ...

T. Acharya is with Avisere Inc., Tucson, AZ 85287-5706 USA, and also with the Department of Electrical Engineering, Arizona State University, Tempe, AZ 85287-5706 USA (e-mail: tinku_acharya@ieee.org). Digital Object Identifier 10.1109/TSMCC.2007.893280 Generally, there exist many-to-one mappings from concepts to gestures and vice versa.

Physik-Department, TUM | Modul PH2181 von SS 2018

Bildverarbeitung in der Physik Image Processing in Physics Modul PH2181. Diese Modulbeschreibung enthält neben den eigentlichen Beschreibungen der Inhalte, Lernergebnisse, Lehr- und Lernmethoden und Prüfungsformen auch Verweise auf die aktuellen Lehrveranstaltungen und Termine für die Modulprüfung in den jeweiligen Abschnitten. Modulversion vom SS 2018. Von dieser Modulbeschreibung gibt es ...

Nasser Kehtarnavaz Real-Time Image and Video Processing

Anna L. Ells Digital Image Processing for Ophthalmology

Oge Marques Practical Image and Video Processing Using MATLAB


Up-to-date, technically accurate coverage of essential topics in image and video processing This is the first book to combine image and video processing with a practical MATLAB®-oriented approach in order to demonstrate the most important image and video techniques and algorithms. Utilizing minimal math, the contents are presented in a clear, objective manner, emphasizing and encouraging experimentation. The book has been organized into two parts. Part I: Image Processing begins with an overview of the field, then introduces the fundamental concepts, notation, and terminology associated with image representation and basic image processing operations. Next, it discusses MATLAB® and its Image Processing Toolbox with the start of a series of chapters with hands-on activities and step-by-step tutorials. These chapters cover image acquisition and digitization; arithmetic, logic, and geometric operations; point-based, histogram-based, and neighborhood-based image enhancement techniques; the Fourier Transform and relevant frequency-domain image filtering techniques; image restoration; mathematical morphology; edge detection techniques; image segmentation; image compression and coding; and feature extraction and representation. Part II: Video Processing presents the main concepts and terminology associated with analog video signals and systems, as well as digital video formats and standards. It then describes the technically involved problem of standards conversion, discusses motion estimation and compensation techniques, shows how video sequences can be filtered, and concludes with an example of a solution to object detection and tracking in video sequences using MATLAB®. Extra features of this book include: More than 30 MATLAB® tutorials, which consist of step-by-step guides to exploring image and video processing techniques using MATLAB® Chapters supported by figures, examples, illustrative problems, and exercises Useful websites and an extensive list of bibliographical references This accessible text is ideal for upper-level undergraduate and graduate students in digital image and video processing courses, as well as for engineers, researchers, software developers, practitioners, and anyone who wishes to learn about these increasingly popular topics on their own. Supplemental resources for readers and instructors can be found at http://www.ogemarques.com

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Fan Yang Architecture-Aware Optimization Strategies in Real-time Image Processing


In the field of image processing, many applications require real-time execution, particularly those in the domains of medicine, robotics and transmission, to name but a few. Recent technological developments have allowed for the integration of more complex algorithms with large data volume into embedded systems, in turn producing a series of new sophisticated electronic architectures at affordable prices. This book performs an in-depth survey on this topic. It is primarily written for those who are familiar with the basics of image processing and want to implement the target processing design using different electronic platforms for computing acceleration. The authors present techniques and approaches, step by step, through illustrative examples. This book is also suitable for electronics/embedded systems engineers who want to consider image processing applications as sufficient imaging algorithm details are given to facilitate their understanding.

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Группа авторов Optical and Digital Image Processing


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

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Eric Dubois Multidimensional Signal and Color Image Processing Using Lattices

Группа авторов Machine Vision Inspection Systems, Image Processing, Concepts, Methodologies, and Applications

FPGA DDR2 EP4CE30 NEW board Core board Video image processing video NEW board

Ilias G. Maglogiannis Image and Signal Processing for Networked eHealth Applications

Philippa Mason J. Essential Image Processing and GIS for Remote Sensing


Essential Image Processing and GIS for Remote Sensing is an accessible overview of the subject and successfully draws together these three key areas in a balanced and comprehensive manner. The book provides an overview of essential techniques and a selection of key case studies in a variety of application areas. Key concepts and ideas are introduced in a clear and logical manner and described through the provision of numerous relevant conceptual illustrations. Mathematical detail is kept to a minimum and only referred to where necessary for ease of understanding. Such concepts are explained through common sense terms rather than in rigorous mathematical detail when explaining image processing and GIS techniques, to enable students to grasp the essentials of a notoriously challenging subject area. The book is clearly divided into three parts, with the first part introducing essential image processing techniques for remote sensing. The second part looks at GIS and begins with an overview of the concepts, structures and mechanisms by which GIS operates. Finally the third part introduces Remote Sensing Applications. Throughout the book the relationships between GIS, Image Processing and Remote Sensing are clearly identified to ensure that students are able to apply the various techniques that have been covered appropriately. The latter chapters use numerous relevant case studies to illustrate various remote sensing, image processing and GIS applications in practice.

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