Architecture-aware optimization strategies in real-time image processing / Chao Li, Souleymane Balla-Arabe, Fan Yang-Song.

Architecture-aware optimization strategies in real-time image processing /

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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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Bibliographic Details
Main Authors: Li, Chao (Author), Balla-Arabe, Souleymane (Author), Yang, Fan (Author)
Format: Electronic eBook
Language:English
Published: London, UK : Hoboken, NJ : ISTE, Ltd. ; Wiley, 2017.
Series:Digital signal and image processing series.
Subjects:
Image processing > Digital techniques.
digital imaging.
Online Access: Full text (Wentworth users only)
Local Note:ProQuest Ebook Central
Table of Contents:
  • 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
  • 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
  • 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
  • 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
  • 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

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