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机构地区:[1]北京理工大学宇航科学技术学院,北京100081 [2]北京理工大学
出 处:《微计算机信息》2009年第17期227-229,共3页Control & Automation
摘 要:数字图像无线传输是微型无人机完成特殊侦察任务的重要组成部分。针对微型无人机的特点及其对数字图像压缩的实时性要求,重点提出了一种提取图像重要信息的内嵌延拓5/3提升小波改进算法,且基于该改进算法设计了一种二维数字图像小波变换的硬件结构并进行仿真实验分析。结果表明,该结构算法简单、占硬件资源少、硬件利用率高;与传统小波变换相比有效地缩短了运算时间、提高了变换速度,基本满足微型无人机对数字图像传输的实时性要求。The digital image wireless transmission is an important component to implement the special tasks of surveillance for micro unmanned air vehicle. Aiming at the features of micro unmanned air vehicle and real-time requirement of its digital image compres- sion, the embedded extension 5/3 lifting wavelet improved algorithm is mainly discussed and the hardware structure of 2-D digital image wavelet transform is designed in this paper. Finally, the hardware architecture is simulated and analyzed in the environment of simulation software. The experimental results show that the designed hardware structure has simple algorithm, very little hardware resources, high hardware utilization. Compared with traditional wavelet transform, this structure efficiently reduces transform time, enhances transform speed, and basically satisfies the request of digital image compression.
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