本文已被:浏览 590次 下载 261次
中文摘要: 针对航天应用中高分辨率的非标准化图像高速压缩时所面临的软件复杂化和硬件资源消耗大的问题,提出了一种基于JPEG2000 IP核的高分辨率图像高速压缩软硬件协同优化设计方法。通过GTX高速接口和工业接口内核化简化了系统接口设计;通过第三方IP核和AXI高速总线技术精简了FPGA程序的软件架构;采用图像压缩性能软件仿真优化与IP压缩参数匹配的技术控制硬件压缩质量。最终设计的高分辨率图像高速压缩系统硬件的体积减小了66%,重量减小了46%,功耗减小了62%;基于IP核的压缩系统比基于ADV212的压缩系统采样速度提高了54% ,最大实时压缩速度提高了32%,单帧压缩时间减小了25%。该设计方案能够满足航天任务中压缩性能好,资源消耗少,小型化,模块化的设计要求,同时为高质量的商业遥感压缩提供了一种参考。
中文关键词: 遥感图像压缩 JPEG2000 IP核 GTX接口 AXI总线 软硬件协同设计
Abstract:To solve the problem of software complexity and hardware resource consumption in high resolution and high-speed compression of non-standardized images in space applications, in this paper, a software and hardware co-optimization design method based on JPEG2000 IP core is proposed. The system hardware interface design is simplified through GTX high-speed interface and industrial interface internalization; The software architecture of the FPGA program is simplified through the third-party IP core and AXI high-speed bus technology; the quality of hardware compression is controlled by using the technology of image compression performance software simulation optimization and matching of IP core compression parameters. The final high-resolution image high-speed compression system hardware size is reduced by 66%, weight is reduced by 46%, and power consumption is reduced by 62%. At the same time, the IP core-based compression system has a 54% faster sampling, a 32% increase in maximum real-time compression speed and a 25% reduction of single-frame compression time than the ADV212-based compression system. The design scheme can meet the requirements of high compression performance, low resource consumption, miniaturization and modularity in space missions, and provides a reference for high-quality commercial remote sensing compression.
keywords: remote sensing image compression, JPEG2000 IP core GTX interface AXI bus software and hardware co-design
文章编号:20250311 中图分类号:TP752.1 文献标志码:A
基金项目:国家自然科学基金(12403082);上海航天科技创新基金 (SAST2015086)
引用文本:
刘玉娇,张少伟,刘景熙,丁荣伟.星载高速图像压缩软硬件优化设计[J].飞控与探测,2025,8(3):109-117.
刘玉娇,张少伟,刘景熙,丁荣伟.星载高速图像压缩软硬件优化设计[J].飞控与探测,2025,8(3):109-117.

