Architecture And Algorithms For Digital Image Processing

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Algorithm-Architecture Matching for Signal and Image Processing

Author : Guy Gogniat
Publisher : Springer
ISBN 13 : 9789048199662
Total Pages : 296 pages
Book Rating : 4.1/5 (996 download)

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Book Synopsis Algorithm-Architecture Matching for Signal and Image Processing by : Guy Gogniat

Download or read book Algorithm-Architecture Matching for Signal and Image Processing written by Guy Gogniat and published by Springer. This book was released on 2010-11-30 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in signal and image processing together with increasing computing power are bringing mobile technology closer to applications in a variety of domains like automotive, health, telecommunication, multimedia, entertainment and many others. The development of these leading applications, involving a large diversity of algorithms (e.g. signal, image, video, 3D, communication, cryptography) is classically divided into three consecutive steps: a theoretical study of the algorithms, a study of the target architecture, and finally the implementation. Such a linear design flow is reaching its limits due to intense pressure on design cycle and strict performance constraints. The approach, called Algorithm-Architecture Matching, aims to leverage design flows with a simultaneous study of both algorithmic and architectural issues, taking into account multiple design constraints, as well as algorithm and architecture optimizations, that couldn’t be achieved otherwise if considered separately. Introducing new design methodologies is mandatory when facing the new emerging applications as for example advanced mobile communication or graphics using sub-micron manufacturing technologies or 3D-Integrated Circuits. This diversity forms a driving force for the future evolutions of embedded system designs methodologies. The main expectations from system designers’ point of view are related to methods, tools and architectures supporting application complexity and design cycle reduction. Advanced optimizations are essential to meet design constraints and to enable a wide acceptance of these new technologies. Algorithm-Architecture Matching for Signal and Image Processing presents a collection of selected contributions from both industry and academia, addressing different aspects of Algorithm-Architecture Matching approach ranging from sensors to architectures design. The scope of this book reflects the diversity of potential algorithms, including signal, communication, image, video, 3D-Graphics implemented onto various architectures from FPGA to multiprocessor systems. Several synthesis and resource management techniques leveraging design optimizations are also described and applied to numerous algorithms. Algorithm-Architecture Matching for Signal and Image Processing should be on each designer’s and EDA tool developer’s shelf, as well as on those with an interest in digital system design optimizations dealing with advanced algorithms.

Architecture-Aware Optimization Strategies in Real-time Image Processing

Author : Chao Li
Publisher : John Wiley & Sons
ISBN 13 : 1119467128
Total Pages : 186 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis Architecture-Aware Optimization Strategies in Real-time Image Processing by : Chao Li

Download or read book Architecture-Aware Optimization Strategies in Real-time Image Processing written by Chao Li and published by John Wiley & Sons. This book was released on 2017-11-02 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Architecture and Algorithms for Digital Image Processing

Author : Andre Oosterlinck
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (17 download)

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Book Synopsis Architecture and Algorithms for Digital Image Processing by : Andre Oosterlinck

Download or read book Architecture and Algorithms for Digital Image Processing written by Andre Oosterlinck and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Morphological Image Processing: Architecture and VLSI design

Author : P.P. Jonker
Publisher : Springer Science & Business Media
ISBN 13 : 1461528046
Total Pages : 294 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Morphological Image Processing: Architecture and VLSI design by : P.P. Jonker

Download or read book Morphological Image Processing: Architecture and VLSI design written by P.P. Jonker and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Based on the experiences of past designs and the outcome of recent studies in the comparisons of low-level image processing architectures, a pipelined system for real time low-image processing has been designed and realized in CMOS technology. To minimize design pitfalls, a study was performed to the details of the design solutions that have been found in embodimentsof the three main architectural groups of image processing; the Square Processor Arrays, the Linear Processor Arrays and the Pipelines. This is reflected in a theoretical model. As the design is based on bitplane-wise processing of images, research was performed on the principles ofCellularLogic Processing of two dimensional images. of binary A methodology has been developed that is based on the transformation images using sets of Hit-or-Miss masks. This method appeared to be extendable to higher dimensional images. A theoretical model for the generation of break-point conditions in high dimensional images has been developed, and applied up to dimension three.

Image Processing

Author : Maher A. Sid-Ahmed
Publisher : McGraw-Hill Companies
ISBN 13 :
Total Pages : 648 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Image Processing by : Maher A. Sid-Ahmed

Download or read book Image Processing written by Maher A. Sid-Ahmed and published by McGraw-Hill Companies. This book was released on 1995 with total page 648 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Architecture and Algorithms for Digital Image Processing

Author : André Oosterlinck
Publisher : Society of Photo Optical
ISBN 13 : 9780892524709
Total Pages : 260 pages
Book Rating : 4.5/5 (247 download)

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Book Synopsis Architecture and Algorithms for Digital Image Processing by : André Oosterlinck

Download or read book Architecture and Algorithms for Digital Image Processing written by André Oosterlinck and published by Society of Photo Optical. This book was released on 1983 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Topological Algorithms for Digital Image Processing

Author : T.Y. Kong
Publisher : Elsevier
ISBN 13 : 0080552048
Total Pages : 301 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Topological Algorithms for Digital Image Processing by : T.Y. Kong

Download or read book Topological Algorithms for Digital Image Processing written by T.Y. Kong and published by Elsevier. This book was released on 1996-07-17 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: Basic topological algorithms are the subject of this new book. It presents their underlying theory and discusses their applications. Due to the wide variety of topics treated in the seven chapters, no attempt has been made to standardize the notation and terminology used by the authors. Each chapter, however, is self-contained and can be read independently of the others. Some of the basic terminology and fundamental concepts of digital topology are reviewed in the appendix which also describes important areas of the field. A bibliography of over 360 references is also provided. The notations and terminologies used in this book will serve to introduce readers to the even wider variety that exists in the voluminous literature dealing with topological algorithms.

Digital Image Processing Techniques

Author : Michael P. Ekstrom
Publisher : Academic Press
ISBN 13 : 0323140165
Total Pages : 389 pages
Book Rating : 4.3/5 (231 download)

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Book Synopsis Digital Image Processing Techniques by : Michael P. Ekstrom

Download or read book Digital Image Processing Techniques written by Michael P. Ekstrom and published by Academic Press. This book was released on 2012-12-02 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital Image Processing Techniques is a state-of-the-art review of digital image processing techniques, with emphasis on the processing approaches and their associated algorithms. A canonical set of image processing problems that represent the class of functions typically required in most image processing applications is presented. Each chapter broadly addresses the problem being considered; the best techniques for this particular problem and how they work; their strengths and limitations; and how the techniques are actually implemented as well as their computational aspects. Comprised of eight chapters, this volume begins with a discussion on processing techniques associated with the following tasks: image enhancement, restoration, detection and estimation, reconstruction, and analysis, along with image data compression and image spectral estimation. The second section describes hardware and software systems for digital image processing. Aspects of commercially available systems that combine both processing and display functions are considered, as are future prospects for their technological and architectural evolution. The specifics of system design trade-offs are explicitly presented in detail. This book will be of interest to students, practitioners, and researchers in various disciplines including digital signal processing, computer science, statistical communications theory, control systems, and applied physics.

Architecture and Algorithms for Digital Image Processing

Author :
Publisher :
ISBN 13 : 9780892526307
Total Pages : 225 pages
Book Rating : 4.5/5 (263 download)

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Book Synopsis Architecture and Algorithms for Digital Image Processing by :

Download or read book Architecture and Algorithms for Digital Image Processing written by and published by . This book was released on 1986 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Algorithms for Image Processing and Computer Vision

Author : J. R. Parker
Publisher : John Wiley & Sons
ISBN 13 : 1118021886
Total Pages : 498 pages
Book Rating : 4.1/5 (18 download)

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Book Synopsis Algorithms for Image Processing and Computer Vision by : J. R. Parker

Download or read book Algorithms for Image Processing and Computer Vision written by J. R. Parker and published by John Wiley & Sons. This book was released on 2010-11-29 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Languages and Architectures for Image Processing

Author : M. J. B. Duff
Publisher :
ISBN 13 :
Total Pages : 348 pages
Book Rating : 4.:/5 (43 download)

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Book Synopsis Languages and Architectures for Image Processing by : M. J. B. Duff

Download or read book Languages and Architectures for Image Processing written by M. J. B. Duff and published by . This book was released on 1981 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Algorithms for Graphics and Image Processing

Author : T. Pavlidis
Publisher : Springer
ISBN 13 : 9783642932106
Total Pages : 0 pages
Book Rating : 4.9/5 (321 download)

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Book Synopsis Algorithms for Graphics and Image Processing by : T. Pavlidis

Download or read book Algorithms for Graphics and Image Processing written by T. Pavlidis and published by Springer. This book was released on 2012-01-16 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The technological developments of the last ten years have made com puter graphics and image processing by computer popular. Pictorial pat tern recognition has also shown significant progress. Clearly, there exist overlapping interests among the three areas of research. Graphic displays are of concern to anyone involved in image processing or pic torial pattern recognition and many problems in graphics require methodologies from image processing for their solutions. The data structures used in all three areas are similar. It seems that there is a common body of knowledge underlying all three areas, pictorial informa tion processing by computer. The novelty of these fields makes it difficult to design a course or to a write a book covering their basic concepts. Some of the treatises on graphics focus on the hardware and methods of current interest while treatises on image processing often emphasize applications and classical signal processing. The fast evolution of technology causes such material to lose its relevance. For example, the development of optical fibers has reduced the importance of bandwidth compression.

Machine Learning Algorithms for Signal and Image Processing

Author : Suman Lata Tripathi
Publisher : John Wiley & Sons
ISBN 13 : 1119861829
Total Pages : 516 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Machine Learning Algorithms for Signal and Image Processing by : Suman Lata Tripathi

Download or read book Machine Learning Algorithms for Signal and Image Processing written by Suman Lata Tripathi and published by John Wiley & Sons. This book was released on 2022-12-01 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: Enables readers to understand the fundamental concepts of machine and deep learning techniques with interactive, real-life applications within signal and image processing Machine Learning Algorithms for Signal and Image Processing aids the reader in designing and developing real-world applications using advances in machine learning to aid and enhance speech signal processing, image processing, computer vision, biomedical signal processing, adaptive filtering, and text processing. It includes signal processing techniques applied for pre-processing, feature extraction, source separation, or data decompositions to achieve machine learning tasks. Written by well-qualified authors and contributed to by a team of experts within the field, the work covers a wide range of important topics, such as: Speech recognition, image reconstruction, object classification and detection, and text processing Healthcare monitoring, biomedical systems, and green energy How various machine and deep learning techniques can improve accuracy, precision rate recall rate, and processing time Real applications and examples, including smart sign language recognition, fake news detection in social media, structural damage prediction, and epileptic seizure detection Professionals within the field of signal and image processing seeking to adapt their work further will find immense value in this easy-to-understand yet extremely comprehensive reference work. It is also a worthy resource for students and researchers in related fields who are looking to thoroughly understand the historical and recent developments that have been made in the field.

Real-time Image and Video Processing

Author : Nasser Kehtarnavaz
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1598290525
Total Pages : 109 pages
Book Rating : 4.5/5 (982 download)

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Book Synopsis Real-time Image and Video Processing by : Nasser Kehtarnavaz

Download or read book Real-time Image and Video Processing written by Nasser Kehtarnavaz and published by Morgan & Claypool Publishers. This book was released on 2006 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: Real-Time Image and Video Processing presents an overview of the guidelines and strategies for transitioning an image or video processing algorithm from a research environment into a real-time constrained environment. Such guidelines and strategies are scattered in the literature of various disciplines including image processing, computer engineering, and software engineering, and thus have not previously appeared in one place. By bringing these strategies into one place, the book is intended to serve the greater community of researchers, practicing engineers, industrial professionals, who are interested in taking an image or video processing algorithm from a research environment to an actual real-time implementation on a resource constrained hardware platform. These strategies consist of algorithm simplifications, hardware architectures, and software methods.Throughout the book, carefully selected, representative examples from the literature are presented to illustrate the discussed concepts. After reading the book, readers will have a strong understanding of the wide variety of techniques and tools involved in designing a real-time image or video processing system.

Real Time Hyperspectral Image Processing

Author : Chein-I Chang
Publisher : Springer
ISBN 13 : 9781441961884
Total Pages : 490 pages
Book Rating : 4.9/5 (618 download)

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Book Synopsis Real Time Hyperspectral Image Processing by : Chein-I Chang

Download or read book Real Time Hyperspectral Image Processing written by Chein-I Chang and published by Springer. This book was released on 2016-01-06 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on architecture and implementation of algorithms, specifically on their real-time and causal processing implementation, architectures of FPGA design and parallel processing. It concludes with applications to multispectral imaging and medical imaging. All these topics have great potential in and impact on hyperspectral data communications and hardware implementation.

Real-Time Image and Video Processing

Author : Nasser Kehtarnavaz
Publisher : Springer Nature
ISBN 13 : 3031022408
Total Pages : 97 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Real-Time Image and Video Processing by : Nasser Kehtarnavaz

Download or read book Real-Time Image and Video Processing written by Nasser Kehtarnavaz and published by Springer Nature. This book was released on 2022-06-01 with total page 97 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an overview of the guidelines and strategies for transitioning an image or video processing algorithm from a research environment into a real-time constrained environment. Such guidelines and strategies are scattered in the literature of various disciplines including image processing, computer engineering, and software engineering, and thus have not previously appeared in one place. By bringing these strategies into one place, the book is intended to serve the greater community of researchers, practicing engineers, industrial professionals, who are interested in taking an image or video processing algorithm from a research environment to an actual real-time implementation on a resource constrained hardware platform. These strategies consist of algorithm simplifications, hardware architectures, and software methods. Throughout the book, carefully selected representative examples from the literature are presented to illustrate the discussed concepts. After reading the book, the readers are exposed to a wide variety of techniques and tools, which they can then employ to design a real-time image or video processing system.

Compiling Algorithms for Heterogeneous Systems

Author : Steven Bell
Publisher : Springer Nature
ISBN 13 : 3031017587
Total Pages : 89 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Compiling Algorithms for Heterogeneous Systems by : Steven Bell

Download or read book Compiling Algorithms for Heterogeneous Systems written by Steven Bell and published by Springer Nature. This book was released on 2022-05-31 with total page 89 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most emerging applications in imaging and machine learning must perform immense amounts of computation while holding to strict limits on energy and power. To meet these goals, architects are building increasingly specialized compute engines tailored for these specific tasks. The resulting computer systems are heterogeneous, containing multiple processing cores with wildly different execution models. Unfortunately, the cost of producing this specialized hardware—and the software to control it—is astronomical. Moreover, the task of porting algorithms to these heterogeneous machines typically requires that the algorithm be partitioned across the machine and rewritten for each specific architecture, which is time consuming and prone to error. Over the last several years, the authors have approached this problem using domain-specific languages (DSLs): high-level programming languages customized for specific domains, such as database manipulation, machine learning, or image processing. By giving up generality, these languages are able to provide high-level abstractions to the developer while producing high-performance output. The purpose of this book is to spur the adoption and the creation of domain-specific languages, especially for the task of creating hardware designs. In the first chapter, a short historical journey explains the forces driving computer architecture today. Chapter 2 describes the various methods for producing designs for accelerators, outlining the push for more abstraction and the tools that enable designers to work at a higher conceptual level. From there, Chapter 3 provides a brief introduction to image processing algorithms and hardware design patterns for implementing them. Chapters 4 and 5 describe and compare Darkroom and Halide, two domain-specific languages created for image processing that produce high-performance designs for both FPGAs and CPUs from the same source code, enabling rapid design cycles and quick porting of algorithms. The final section describes how the DSL approach also simplifies the problem of interfacing between application code and the accelerator by generating the driver stack in addition to the accelerator configuration. This book should serve as a useful introduction to domain-specialized computing for computer architecture students and as a primer on domain-specific languages and image processing hardware for those with more experience in the field.