Research on embedded system of image acquisition and real-time processing based on ZYNQ

Zongjie Zhang; Liu Peng

doi:10.1117/12.2642305

15 July 2022 Research on embedded system of image acquisition and real-time processing based on ZYNQ

Zongjie Zhang, Liu Peng

Proceedings Volume 12258, International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022); 122581Q (2022) https://doi.org/10.1117/12.2642305
Event: International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022), 2022, Qingdao, China

Abstract

In order to meet the demand for flexible acquisition of video images and real-time processing of images, the speed and efficiency of image processing are improved. This paper is an embedded system based on the ZYNQ-7000 series chip which integrates ARM+FPGA structure for image acquisition and real-time processing. An improved sharpening algorithm that can be used for edge detection in the image processing module is proposed, and the algorithm is integrated into the hardware through the HLS tool that comes with Vivado, which realizes the flexible acquisition and real-time processing of video image data. By studying image processing algorithms commonly used in embedded acquisition and processing systems, an improved sharpening algorithm is designed based on threshold segmentation and image filtering and applied in experiments. In terms of hardware, it has the advantages of low power consumption, high performance and flexibility. In terms of algorithm, it not only improves the speed of image optimization processing, but also has a large development space and application value.

Citation Download Citation

Zongjie Zhang and Liu Peng "Research on embedded system of image acquisition and real-time processing based on ZYNQ", Proc. SPIE 12258, International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022), 122581Q (15 July 2022); https://doi.org/10.1117/12.2642305

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