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Design for Embedded Image Processing on FPGAs, 2nd edition
Название: Design for Embedded Image Processing on FPGAs, 2nd edition
Автор: Donald G. Bailey
Издательство: Wiley
Год: 2024
Страниц: 499
Язык: английский
Формат: pdf (true)
Размер: 25.8 MB

Design for Embedded Image Processing on FPGAs.

Bridge the gap between software and hardware with this foundational design reference.

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.

Image processing, and in particular embedded image processing, faces many challenges, from increasing resolution, increasing frame rates, and the need to operate at low power. These offer significant challenges for implementation on conventional software‐based platforms. This leads naturally to considering field‐programmable gate arrays (FPGAs) as an implementation platform for embedded imaging applications. Many image processing operations are inherently parallel, and FPGAs provide programmable hardware, also inherently parallel. Therefore, it should be as simple as mapping one onto the other, right? Well, yes …and no.

Image processing is traditionally thought of as a software domain task, whereas FPGA‐based design is firmly in the hardware domain. There are a lot of tricks and techniques required to create an efficient design. Perhaps the biggest hurdle to an efficient implementation is the need for a hardware mindset. To bridge the gap between software and hardware, it is necessary to think of algorithms not on their own but more in terms of their underlying computational architecture. Implementing an image processing algorithm (or indeed any algorithm) on an FPGA therefore consists of determining the underlying architecture of an algorithm, mapping that architecture onto the resources available within an FPGA, and finally mapping the algorithm onto the hardware architecture. While the mechanics of this process is mostly automated by high‐level synthesis tools, the underlying design is not. A low‐quality design can only go so far; it is still important to keep in mind the hardware that is being implied by the code and design the algorithm for the underlying hardware.

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.


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