Image Processing

一、Programmatic Overview

This solution is based on the PUZHI MPSOC-ZCU7EV development board, and realizes the image processing task through the collaborative work of FPGA and ARM processor. The specific realization is as follows:

Use FPGA to realize image pre-processing, including image acquisition, image format conversion, image scaling and other operations.

Transfer the pre-processed image data to the ARM processor for advanced processing such as image analysis, recognition, segmentation, etc.

The ARM processor returns the results to the FPGA for image post-processing, such as result display, image storage and other operations.

二、hardware design

Choose Puzhi electronic MPSOC-ZCU7EV development board, development board main chip with rich resources FPGA part, quad-core A53, dual-core R5 and GPU, development board with HDMI (4K), MIPI, FMC, PCIE, SSD, and SATA interfaces, is very suitable for image processing.

Design the hardware logic of the FPGA part, including the logic of image acquisition, pre-processing and post-processing.

Design the hardware logic for the ARM processor part, including the logic for advanced image processing, data processing and communication.

Design the data transmission interface between FPGA and ARM processor to ensure the rate and stability of data transmission.

 三、Software design

 Write applications for ARM processors using C/C++ to implement image processing algorithms

Use the software development tools provided by Xilinx, such as SDK and Vivado, to compile and debug the software.

Use appropriate image processing libraries and algorithms, such as OpenCV, to accelerate the speed and efficiency of image processing.

Design appropriate user interfaces and interaction methods to facilitate user operation and monitoring of image processing results.

四、Performance optimization

 Improve the image processing speed of FPGA part by parallel processing and pipelining design.

Optimize the algorithms and codes of ARM processors to improve the speed and efficiency of image processing.

Optimize the data transmission interface and transmission protocol to improve the rate and stability of data transmission.

According to the actual demand for performance evaluation and optimization, to ensure the real-time and stability of the image processing tas