Design for Embedded Image Processing on FPGAs by Donald G. Bailey
Design for Embedded Image Processing on FPGAs Donald G. Bailey ebook
ISBN: 0470828498, 9780470828496
An alternative to ASIC, custom processing system, and PC-based video-image processing. Embedded Systems: Hardware, Design and Implementation (1118352157) cover image. He has also been responsible for the development of various training courses offered by The MathWorks, including “MATLAB® for Image Processing”. Other Available Next, it focuses on the technologies associated with embedded computing systems, going over the basics of field-programmable gate array (FPGA), digital signal processing (DSP) and application-specific integrated circuit (ASIC) technology, architectural support for on-chip integration of custom accelerators with processors, and O/S support for these systems. All stages of the design workflow from modeling and simulation, converting the design from a floating-point to a fixed-point representation, automatically generating C code or VHDL/Verilog code for deployment onto DSP or FPGA hardware and verifying the design through real-time simulation on the hardware. Embedded systems can, of course, be built using off-the-shelf processing boards and image capture boards. Dr Donald Bailey starts with introductory material considering the problem of embedded image processing, and how some of the issues may be solved using parallel hardware solutions. Design for Embedded Image Processing on FPGAs W ey | 2011 | ISBN: 0470828498 | 416 pages | PDF | 27,4 MB Dr Donald Bailey starts with introductory material considering the problem of embedde. Abstract: The importance of embedded applications on image and video processing,communication and cryptography domain has been taking a larger space in current research era. These solutions can save development time And a purely off-the-shelf solution can put you at the mercy of the marketplace -- e.g., if you design around a specific PC and video card and either becomes obsolete, you are, again, faced with a redesign. Mathworks Matlab can be used to develop hardware based computer vision algorithms and its corresponding crypto transmission channel between multiple FPGA platform from a system level approach, making it favourable for developing a hardware-software co-design environment. Various image processing tests have been run on the FPGA platform to demonstrate the functionality of a design that uses 12 parallel processors. Xylon's expertise in the fields of embedded graphics, video, image processing and networking is confirmed by a large number of successful FPGA designs, which are produced by our partners and distributed worldwide.