Design for Embedded Image Processing on FPGAs 2nd Edition by Donald G Bailey ISBN 9781119819790 1119819792

Design for Embedded Image Processing on FPGAs 2nd Edition by Donald G Bailey – Ebook PDF Instant Download/Delivery: 9781119819790 ,1119819792
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Product details:
ISBN 10: 1119819792
ISBN 13: 9781119819790
Author: Donald G Bailey

Field-programmable gate arrays (FPGAs) are integrated circuits designed so that configuration can take place. Circuits of this kind play an integral role in processing images, with FPGAs increasingly embedded in digital cameras and other devices that produce visual data outputs for subsequent realization and compression. These uses of FPGAs require specific design processes designed to mediate smoothly between hardware and processing algorithm.

Design for Embedded Image Processing on FPGAs provides a comprehensive overview of these processes and their applications in embedded image processing. Beginning with an overview of image processing and its core principles, this book discusses specific design and computation techniques, with a smooth progression from the foundations of the field to its advanced principles.

Readers of the second edition of Design for Embedded Image Processing on FPGAs will also find:

• Detailed discussion of image processing techniques including point operations, histogram operations, linear transformations, and more
• New chapters covering Deep Learning algorithms and Image and Video Coding
• Example applications throughout to ground principles and demonstrate techniques

Design for Embedded Image Processing on FPGAs is ideal for engineers and academics working in the field of Image Processing, as well as graduate students studying Embedded Systems Engineering, Image Processing, Digital Design, and related fields.

Design for Embedded Image Processing on FPGAs 2nd Edition Table of contents:

1 Image Processing

1.1 Basic Definitions

1.2 Image Formation

1.3 Image Processing Operations

1.4 Real‐time Image Processing

1.5 Embedded Image Processing

1.6 Computer Architecture

1.7 Parallelism

1.8 Summary

References

2 Field‐programmable Gate Arrays

2.1 Hardware Architecture of FPGAs

2.2 Programming FPGAs

2.3 FPGAs and Image Processing

2.4 Summary

References

3 Design Process

3.1 Problem Specification

3.2 Algorithm Development

3.3 Architecture Selection

3.4 System Implementation

3.5 Testing and Debugging

3.6 Summary

References

4 Design Constraints

4.1 Timing Constraints

4.2 Memory Bandwidth Constraints

4.3 Resource Constraints

4.4 Power Constraints

4.5 Performance Metrics

4.6 Summary

References

5 Computational Techniques

5.1 Number Systems

5.2 Elementary Functions

5.3 Other Computation Techniques

5.4 Memory Structures

5.5 Summary

References

6 Interfacing

6.1 Camera Input

6.2 Display Output

6.3 Serial Communication

6.4 Off‐chip Memory

6.5 Processors

6.6 Summary

References

7 Point Operations

7.1 Point Operations on a Single Image

7.2 Point Operations on Multiple Images

7.3 Colour

7.4 Multi‐spectral and Hyperspectral Imaging

7.5 Summary

References

8 Histogram Operations

8.1 Greyscale Histogram

8.2 Multidimensional Histograms

8.3 Summary

References

9 Local Filters

9.1 Window Caching

9.2 Linear Filters

9.3 Nonlinear Filters

9.4 Rank Filters

9.5 Adaptive Histogram Equalisation

9.6 Morphological Filters

9.7 Colour Filtering

9.8 Summary

References

10 Geometric Transformations

10.1 Reverse Mapping

10.2 Forward Mapping

10.3 Common Mappings

10.4 Image Registration

10.5 Summary

References

11 Linear Transforms

11.1 Discrete Fourier Transform

11.2 Discrete Cosine Transform (DCT)

11.3 Wavelet Transform

11.4 Summary

References

12 Image and Video Coding

12.1 Compression Techniques

12.2 DCT‐based Codecs

12.3 Wavelet‐based Codecs

12.4 Lossless Compression

12.5 Perceptual Coding

12.6 Coding Hyperspectral Images

12.7 Summary

References

13 Blob Detection and Labelling

13.1 Bounding Box

13.2 Run‐length Coding

13.3 Chain Coding

13.4 Connected Component Labelling (CCL)

13.5 Connected Component Analysis (CCA)

13.6 Distance Transform

13.7 Watershed Transform

13.8 Hough Transform

13.9 Summary

References

14 Machine Learning

14.1 Training

14.2 Regression

14.3 Classification

14.4 Deep Learning

14.5 Summary

References

15 Example Applications

15.1 Coloured Region Tracking

15.2 Foveal Sensor

15.3 Real‐time Produce Grading

15.4 Stereo Imaging

15.5 Face Detection

15.6 Summary

References

Index

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Tags: Donald G Bailey, Design, Embedded Image, FPGAs