Anyone in need of new methods for implementing algorithms requiring large computing power for image processing, transmission and analysis, will find this book to be an invaluable reference. Readers will learn that image processing algorithms can be implemented in parallel, using reconfigurable FPGA-based systems. Ideas and design principles presented in this book can be applied using relatively inexpensive, stand-alone boards or cards connected to a PC, for those building their own equipment and apparatus for imaging, as well as those using much more expensive FPGA-based blades working in a high-performance computing environment.
This book offers new methods for implementing algorithms using large computing power for image processing, transmission and analysis. Covers reconfigurable FPGA-based systems, with design ideas useful in both PCs and high-performance computing environments.
Anyone in need of new methods for implementing algorithms requiring large computing power for image processing, transmission and analysis, will find this book to be an invaluable reference. Readers will learn that image processing algorithms can be implemented in parallel, using reconfigurable FPGA-based systems. Ideas and design principles presented in this book can be applied using relatively inexpensive, stand-alone boards or cards connected to a PC, for those building their own equipment and apparatus for imaging, as well as those using much more expensive FPGA-based blades working in a high-performance computing environment.
Provides basic knowledge of how to implement image processing algorithms in FPGA reprogrammable systems
Discusses principles of fine and coarse grained parallelism of image processing for FPGAs, especially for pipelined image processing
Shows readers how to design their own image processing algorithms, using inexpensive and readily available FPGA platforms, as well as more specialized, expensive FPGA accelerators
Marek Gorgón
FPGA Image Processing FPGA Video Processing FPGAs Reconfigurable Computing