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Parallel Architecture For Image Processing
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Book Synopsis Parallel Architecture for Image Processing by : Massimo Maresca
Download or read book Parallel Architecture for Image Processing written by Massimo Maresca and published by . This book was released on 1996 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Image Processing Using a Parallel Architecture by : Billy R. Hodges
Download or read book Image Processing Using a Parallel Architecture written by Billy R. Hodges and published by . This book was released on 1987 with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study developed a set of low level image processing on a parallel computer that allows concurrent processing of images in order to support development of systems that use multiple images to gather information. The parallel computer used is a collection of powerful processors connected in a hypercube topology. The software developed simplifies the interface between the parallel computer and the applications developer by providing a library of functions in the C programming language. These functions are used to control 'image processor programs' that run independently in the parallel computer and perform the image processing operations. The complexities of the parallel processor are hidden and replaced with a flexible structure specifically designed for image processing. This structure provides a simplified interface, but also acts as a framework to which additional image processing operations can be added. Keywords: Image processing, Convolution, Parallel processing.
Author :Université Scientifique et Médicale de Grenoble. Laboratoire IMAG. Laboratoire Circuits et Systemes Publisher : ISBN 13 : Total Pages : pages Book Rating :4.:/5 (123 download)
Book Synopsis Modelling a Parallel Architecture for Image Processing by : Université Scientifique et Médicale de Grenoble. Laboratoire IMAG. Laboratoire Circuits et Systemes
Download or read book Modelling a Parallel Architecture for Image Processing written by Université Scientifique et Médicale de Grenoble. Laboratoire IMAG. Laboratoire Circuits et Systemes and published by . This book was released on 1987 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Parallel Architectures for Image Processing by : Joydeep Ghosh
Download or read book Parallel Architectures for Image Processing written by Joydeep Ghosh and published by . This book was released on 1990 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Image Processing Using a Parallel Architecture by : Billy R. Hodges (CAPT, USAF.)
Download or read book Image Processing Using a Parallel Architecture written by Billy R. Hodges (CAPT, USAF.) and published by . This book was released on 1987 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Modeling a Parallel Architecture for Image Processing by : Pierre Houeix
Download or read book Modeling a Parallel Architecture for Image Processing written by Pierre Houeix and published by . This book was released on 1987 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Real-Time Parallel Computing by : Morio Onoe
Download or read book Real-Time Parallel Computing written by Morio Onoe and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is concerned with the aspects of real-time, parallel computing which are specific to the analysis of digitized images including both the symbolic and semantic data derived from such images. The subjects covered encompass processing, storing, and transmitting images and image data. A variety of techniques and algorithms for the analysis and manipulation of images are explored both theoretically and in terms of implementation in hardware and software. The book is organized into four topic areas: (1) theo retical development, (2) languages for image processing, (3) new computer techniques, and (4) implementation in special purpose real-time digital systems. Computer utilization, methodology, and design for image analy sis presents special and unusual problems. One author (Nagao)* points out that, "Human perception of a scene is very complex. It has not been made clear how perception functions, what one sees in a picture, and how one understands the whole picture. It is almost certain that one carries out a very quick trial-and-error process, starting from the detection of gross prominent features and then analyzing details, using one's knowledge of the world. " Another author (Duff) makes the observation that, "It is therefore more difficult to write computer programs which deal with images than those which deal with numbers, human thinking about arithmetic being a largely conscious activity.
Book Synopsis Parallel Architectures and Algorithms for Image Understanding by : V. K. Prasanna Kumar
Download or read book Parallel Architectures and Algorithms for Image Understanding written by V. K. Prasanna Kumar and published by . This book was released on 1991 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :Steven L. Tanimoto Publisher :Cambridge International Series on Parallel Computation ISBN 13 :9780521770613 Total Pages :320 pages Book Rating :4.7/5 (76 download)
Book Synopsis Parallel Computation in Image Processing by : Steven L. Tanimoto
Download or read book Parallel Computation in Image Processing written by Steven L. Tanimoto and published by Cambridge International Series on Parallel Computation. This book was released on 2008-03 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rapid advances in silicon and other computer technologies are making high speed, parallel image processing computers a reality. These processors will increasingly be massively parallel and embedded in cameras and other sensors. As these devices proliferate, designers of image processing systems need to understand the basic algorithms and programming techniques for realizing solutions to problems in image analysis, vision, data compression, and information retrieval. This book covers key parallel architectures and algorithms for processing images, including both the theory of massively parallel mesh-based architectures and the practical aspects of programming these systems. The techniques presented have applications to computer vision, image compression, image analysis, and information retrieval. The book can be used as a course text for students in electrical engineering and computer science at the graduate and advanced undergraduate levels and as a reference for researchers and working professionals.
Book Synopsis Recent Advances in Computer Vision Applications Using Parallel Processing by : Khalid M. Hosny
Download or read book Recent Advances in Computer Vision Applications Using Parallel Processing written by Khalid M. Hosny and published by Springer Nature. This book was released on 2023-01-23 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive book is primarily intended for researchers, computer vision specialists, and high-performance computing specialists who are interested in parallelizing computer vision techniques for the sake of accelerating the run-time of computer vision methods. This book covers different penalization methods on different parallel architectures such as multi-core CPUs and GPUs. It is also a valuable reference resource for researchers at all levels (e.g., undergraduate and postgraduate) who are seeking real-life examples of speeding up the computer vision methods’ run-time.
Book Synopsis Special Issue on Parallel Architecture for Image Processing by :
Download or read book Special Issue on Parallel Architecture for Image Processing written by and published by . This book was released on 1996 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Multiple-paradigm Parallel Architecture for Image Processing by :
Download or read book A Multiple-paradigm Parallel Architecture for Image Processing written by and published by . This book was released on 1991 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Intermediate-level Image Processing by : M. J. B. Duff
Download or read book Intermediate-level Image Processing written by M. J. B. Duff and published by . This book was released on 1986 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here are current and wide-ranging discussions of intermediate-level image processing. This volume identifies and fills the gap between low- and high-level image processing, and will be a vital reference for computer architects, computer scientists, and researchers in image processing.
Book Synopsis Parallel Image Processing by : M Nivat
Download or read book Parallel Image Processing written by M Nivat and published by World Scientific. This book was released on 1992-10-29 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contents:Three-Dimensional Object Pattern Representation by Array Grammars (P S P Wang)Stochastic Puzzle Grammars (R Siromoney et al.)Parallel Recognition of High Dimensional Images (M Nivat & A Saoudi)Two-Dimensional Uniquely Parsable Isometric Array Grammars (Y Yamamoto & K Morita)Replicated Image Algorithms and Their Analyses on SIMD Machines (P J Narayanan & L S Davis)The Depth and Motion Analysis Machine (O D Faugeras et al.)Image Analysis on Massively Parallel Computers: An Architecture Point of View (A Mérigot & B Zavidovique)Parallel Algorithm for Colour Texture Generation Using the Random Neural Network Model (V Atalay & E Gelenbe)and other papers Readership: Computer scientists. keywords:
Book Synopsis Parallel Image Analysis: Theory And Applications by : L S Davis
Download or read book Parallel Image Analysis: Theory And Applications written by L S Davis and published by World Scientific. This book was released on 1995-12-26 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume deals with the following topics: 2-D, 3-D automata and grammars, parallel architecture for image processing, parallel digital geometry algorithms, data allocation strategies for parallel image processing algorithms, complexity analysis of parallel image operators. The contributions are written by leading experts in the fields of models, algorithms and architectures for parallel image processing.
Book Synopsis Parallel Image Processing by : T. Bräunl
Download or read book Parallel Image Processing written by T. Bräunl and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the area of image processing and data-parallel processing. It covers a number of standard algorithms in image processing and describes their parallel implementation. The programming language chosen for all examples is a structured parallel programming language which is ideal for educational purposes. It has a number of advantages over C, and since all image processing tasks are inherently parallel, using a parallel language for presentation actually simplifies the subject matter. This results in shorter source codes and a better understanding. Sample programs and a free compiler are available on an accompanying Web site.
Book Synopsis Parallel Architectures and Parallel Algorithms for Integrated Vision Systems by : Alok N. Choudary
Download or read book Parallel Architectures and Parallel Algorithms for Integrated Vision Systems written by Alok N. Choudary and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer vision is one of the most complex and computationally intensive problem. Like any other computationally intensive problems, parallel pro cessing has been suggested as an approach to solving the problems in com puter vision. Computer vision employs algorithms from a wide range of areas such as image and signal processing, advanced mathematics, graph theory, databases and artificial intelligence. Hence, not only are the comput ing requirements for solving vision problems tremendous but they also demand computers that are efficient to solve problems exhibiting vastly dif ferent characteristics. With recent advances in VLSI design technology, Single Instruction Multiple Data (SIMD) massively parallel computers have been proposed and built. However, such architectures have been shown to be useful for solving a very limited subset of the problems in vision. Specifically, algorithms from low level vision that involve computations closely mimicking the architec ture and require simple control and computations are suitable for massively parallel SIMD computers. An Integrated Vision System (IVS) involves com putations from low to high level vision to be executed in a systematic fashion and repeatedly. The interaction between computations and information dependent nature of the computations suggests that architectural require ments for computer vision systems can not be satisfied by massively parallel SIMD computers.