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.

About the Author

Donald G. Bailey, PhD, is Professor of Imaging Systems in the Department of Mechanical and Electrical Engineering, Massey University, New Zealand. He is an internationally recognized expert on FPGA technology in image processing and has published widely on FPGAs and related subjects.

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