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

Design for Embedded Image Processing on FPGAs



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Design for Embedded Image Processing on FPGAs Donald G. Bailey ebook
Format: pdf
Page: 0
ISBN: 0470828498, 9780470828496
Publisher: Wiley-Blackwell


The processor used in the system allows run time control. With its core team in Bangalore and regional on Image Processing and Xilinx DSP blockset. A newly introduced reference design applies FPGA-based signal processing in an inexpensive solution for wide dynamic range IP cameras with some fairly sophisticated techniques inside. Is now providing a SWaP-optimized hyper-spectral image processing and storage subsystem for use in multi-INT wide area surveillance equipment on UAS. 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. In this work we have set a foundation for a dedicated embedded platform for preprocessing of images to calculate the processing time before the images are sent to the computer.The objective of the designed system is to read high definition real time digital video from an input such as a microscope or a camera and implement image processing algorithms of smoothing and filtering before sending the output. 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. It comprises of dedicated team of professionals who possess rich design and application engineering experience in VLSI, embedded and related areas. The students will be allowed to use selected software and hardware facilities available at TIFACCORE laboratory to gain real time knowledge on Basic Digital Image Processing (DIP) Techniques using Spartan 6 FPGA. The subsystem will locate The system's design combines two configurations of Mercury's PowerBlock 15 ultra-compact embedded computers with Intel Core i7 processing speed and FPGA capabilities to deliver a real-time sensor interface in an ultra-small form factor.