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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 embe...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Li, Chao (Autor), Balla-Arabe, Souleymane (Autor), Yang, Fan (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London, UK : Hoboken, NJ : ISTE, Ltd. ; Wiley, 2017.
Colección:Digital signal and image processing series.
Temas:
Acceso en línea:Texto completo
Texto completo

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245 1 0 |a Architecture-aware optimization strategies in real-time image processing /  |c Chao Li, Souleymane Balla-Arabe, Fan Yang-Song. 
264 1 |a London, UK :  |b ISTE, Ltd. ;  |a Hoboken, NJ :  |b Wiley,  |c 2017. 
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490 1 |a Digital signal and image processing series 
504 |a Includes bibliographical references and index. 
588 0 |a Online resource; title from PDF title page (John Wiley, viewed November 9, 2017). 
505 0 |a Cover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- Preface -- 1. Introduction of Real-time Image Processing -- 1.1. General image processing presentation -- 1.2. Real-time image processing -- 2. Hardware Architectures for Real-time Processing -- 2.1. History of image processing hardware platforms -- 2.2. General-purpose processors -- 2.3. Digital signal processors -- 2.4. Graphics processing units -- 2.5. Field programmable gate arrays -- 2.6. SW/HW codesign of real-time image processing 
505 8 |a 2.7. Image processing development environment description2.8. Comparison and discussion -- 3. Rapid Prototyping of Parallel Reconfigurable Instruction Set Processor for Efficient Real-Time Image Processing -- 3.1. Context and problematic -- 3.2. Related works -- 3.3. Design exploration framework -- 3.4. Case study: RISP conception and synthesis for spatial transforms -- 3.4.1. Digital DCT algorithm implementations -- 3.4.2. Rapid prototyping of DCT RISP conception -- 3.4.3. RISP simulation and synthesis for 2D-DCT 
505 8 |a 3.5. Hardware implementation of spatial transforms on an FPGA-based platform3.6. Discussion and conclusion -- 4. Exploration of High-level Synthesis Technique -- 4.1. Introduction of HLS technique -- 4.2. Vivado_HLS process presentation -- 4.2.1. Control and datapath extraction -- 4.2.2. Scheduling and binding -- 4.3. Case of HLS application: FPGA implementation of an improved skin lesion assessment method -- 4.3.1. KMGA method description -- 4.3.2. KMGA method optimization -- 4.3.3. HCR-KMGA implementation onto FPGA using HLS technique 
505 8 |a 4.3.4. Implementation evaluation experiments4.4. Discussion -- 5. CDMS4HLS: A Novel Source-To-Source Compilation Strategy for HLS-Based FPGA Design -- 5.1. S2S compiler-based HLS design framework -- 5.2. CDMS4HLS compilation process description -- 5.2.1. Function inline -- 5.2.2. Loop manipulation -- 5.2.3. Symbolic expression manipulation -- 5.2.4. Loop unwinding -- 5.2.5. Memory manipulation -- 5.3. CDMS4HLS compilation process evaluation -- 5.3.1. Performances improvement evaluation -- 5.3.2. Comparison experiment -- 5.4. Discussion 
505 8 |a 6. Embedded Implementation of VHR Satellite Image Segmentation6.1. LSM description -- 6.1.1. Background -- 6.1.2. Level set equation -- 6.1.3. LBM solver -- 6.2. Implementation and optimization presentation -- 6.2.1. Design flow description -- 6.2.2. Algorithm analysis -- 6.2.3. Function inline -- 6.2.4. Loop manipulation -- 6.2.5. Symbol expression manipulation -- 6.2.6. Loop unwinding -- 6.3. Experiment evaluation -- 6.3.1. Parameter configuration -- 6.3.2. Function verification -- 6.3.3. Optimization evaluation -- 6.3.4. Performance comparison 
520 8 |a 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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700 1 |a Yang, Fan,  |e author. 
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