A Multi-core Image Acquisition and Storage System with Low-Light Enhancement

Shidong Lv, Zhixian Hou, Chaoyue Wang, Fang Han, Quanwen Qi, Zicheng Liu, Xinghua Wang, Xiaoran Li*

*此作品的通讯作者

科研成果: 期刊稿件会议文章同行评审

摘要

This paper designs and implements an image acquisition and storage system based on the Feiteng processor FT2000/4, which includes five stages: acquisition, processing, compression, storage, and display: Real-time image acquisition through the USB camera, low-light enhancement processing of the captured image, storage of the captured image in the hard disk using JPEG compression coding, reading the image file, decoding and output to the monitor. The system software algorithms use pipelining and Ping-Pong caching methods to significantly optimize system processing speed. As tested, the total time for computing 500 frames of images using a multi-core five-stage pipeline is 8.139658s, with a processing speed of about 61.4fps, which is 3.12 times faster than that of single-core processing. This system achieves efficient operation of image acquisition and storage in the Feiteng processor, optimizes the performance of embedded real-time image acquisition and storage display, and has practical use value.

源语言英语
页(从-至)3938-3943
页数6
期刊IET Conference Proceedings
2023
47
DOI
出版状态已出版 - 2023
活动IET International Radar Conference 2023, IRC 2023 - Chongqing, 中国
期限: 3 12月 20235 12月 2023

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