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

The device is aimed at embedded applications in image processing, signal processing, control, communications and data security. If you are using MATLAB to model digital signal processing (DSP) or video and image processing algorithms that eventually end up in FPGAs or ASICs, read on. 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. "We see the speed and flexibility of FPGAs as a crucial technology to perform intensive image processing at high speeds," said James Cotton, a graduate researcher in neuroscience at Baylor College of Medicine. Introduction to HDL Code Generation from MATLAB; MATLAB to Hardware Workflow; Example MATLAB Algorithm; Example MATLAB Test Bench; HDL Workflow Advisor; Design Space Exploration and Optimization Options; Best Practices; Conclusion. In the future work we will develop an application suitable for this hardware which can be an image processing program. Introduction to HDL Code Generation from MATLAB. This Design needs 5 FPGAs Virtex 4 LX 200 to be implemented on. 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. 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. The MPPA-256 was designed by Kalray with Global Unichip Corp. Additionally, using FPGAs helps eliminate the need to design custom hardware.