Design And Implementation Of Embedded Digital Image Processing System Based On Zynq-7000

With the development of electronic technology, computer technology andsemiconductor technology, embedded digital image processing systemcontinuously improve computing performance, while its function is alsoincreasingly rich. Numerous studies show that an FPGA-based embeddedimage processing system can obtain a high computing performance. Therefore,FPGA is the ideal solution for embedded image processing applications from aperspective of computational performance. However, in addition to providingthe necessary image processing functions, featured embedded imageprocessing system may need to provide image acquisition, image display,network communication, data storage, human-computer interaction and otheradditional features. That will make the traditional FPGA-based imageprocessing solutions face challenges in upgrading the system structure, designmethods, cost control and other aspects.Xilinx has introduced Zynq-7000series of products, which integrates thelatest technology of ARM processor and FPGA programmable logic devices.As a new generation of Programmable System on Chip, Zynq-7000providesan "ARM+FPGA" single-chip solution, ideal for compute-intensive andfeature-rich embedded applications. Using Zynq-7000to achieve embeddedimage processing system, either through the FPGA can achieve highercomputing performance, but also be able to rely on the ARM processor to provide better applications.This paper studies the design scheme and implementation methods ofembedded digital image processing system based on Zynq-7000. Firstly, AVGA image display drive module is designed with Verilog hardwaredescription language in the paper. Secondly, Some Image processingexperiments are carried out using HLS tools in Vivado developmentenvironment. Thirdly, Ubuntu operating system is ported. Lastly, theestablishment and testing work of the whole system are completed. Aroundestablishment and testing of embedded digital image processing system, thepaper studies the following.(1) Structural features, design advantages and image processingapplications of Zynq-7000Programmable System on Chip;(2) The method to implement embedded image processing system withZynq-7000;(3) The implement of image capture and image display on Zynq-7000;(4) Some image processing method and their implement on Zynq-7000;(5) Hardware platform integration for embedded image processingsystem;(6) Application-layer control software design;(7) Learning to use associated design tools (Vivado, SDK, HLS, etc.).