Design for Embedded Image Processing on FPGAs

Design for Embedded Image Processing on FPGAs

Design for Embedded Image Processing on FPGAs . Donald G. Bailey

Design for Embedded Image Processing on FPGAs


Design.for.Embedded.Image.Processing.on.FPGAs..pdf
ISBN: 0470828498,9780470828496 | 0 pages | 4 Mb


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Design for Embedded Image Processing on FPGAs Donald G. Bailey
Publisher: Wiley-Blackwell




Embedded Computer Vision, exemplified by the migration from powerful workstations to embedded processors in computer vision applications, is a new and emerging field that enables an associated shift in application development and Presents a thorough introductory section on hardware and architectures, design methodologies, and video analytics to aid the reader's understanding through the following chapters. Bailey, English | 2011 | ISBN: 0470828498 | 416 pages | PDF | 27 MBDr Donald Bailey starts with introductory material considering th. Innovations such as HDTV and digital cinema revolve around video and image processing and the rapid evolution of video technology. Among GiDEL addresses this critical problem by offering a family of off-the-shelf Frame Grabber system solutions, PROC family of FPGA platforms, which leverage the parallel computing architectures of FPGAs to provide the needed processing acceleration. Devices such as CPLDs and FPGAs are targeted in this design process. Impulse Launches FPGA Image Processing Design Services. Image Processing, Machine Vision and Surveillance encompass a broad range of industrial applications where many quality and control functions are performed automatically with little human interaction. In addition to these design characteristics, Anderson indicates that an embedded design engineer must also be comfortable with the concepts of thermal loading, the MIPS/watts ratio, an intimate knowledge of the target hardware to the register .. Design for Embedded Image Processing on FPGAs Donald G. February 26th, 2009 · No Comments. Advances in signal and image processing together with increasing computing power are bringing mobile technology closer to applications in a variety of domains like automotive, health, telecommunication, multimedia, entertainment This diversity forms a driving force for the future evolutions of embedded system designs methodologies. Anderson received his PhD in electrical and computer engineering at the University of Wyoming with a research emphasis in image processing in 2004.

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