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

He has also been responsible for the development of various training courses offered by The MathWorks, including “MATLAB® for Image Processing”. The processor used in the system allows run time control. Design, implement, debug, test and maintain embedded software systems. Embedded Image Processing on the TMS320C6000™ DSP: Examples in Code Composer Studio™ and MATLAB focuses on efficient implementations of advanced image processing algorithms for resource-constrained embedded DSP systems . In partnership with world-class suppliers of advanced signal processing and communications IP cores for FPGA platforms, L2Tek brings to market innovative image compression technologies for high performance digital video and multimedia applications. Design, implement, and integrate computer vision algorithms and prototypes. CoreEL Technologies CoreEL Technologies is a leading provider of VLSI and embedded system design services and Intellectual Property (IP), delivering world-class products and support since the company's inception in 1999. 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. Last week, while attending the 2013 DESIGN West/Embedded Systems Conference in San Jose we presented the VDC Research Embeddy Award for the best new embedded hardware product. Innovations such as HDTV and digital cinema revolve around video and image processing and the rapid evolution of video technology. 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. Implement image processing algorithms. The embedded firmware engineer is responsible for the architectural design and implementation of firmware components for embedded image capture and processing systems. Experience in aerial video analysis, robotic vision and embedded image processing (FPGA, DSP, or smartphone). 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. 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. Coordinate design efforts with FPGA and hardware engineers to develop solutions.