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作 者:周月 倪晋平[2] 谭林秋 陈丁[2,3] 杨久琪 ZHOU Yue;NI Jinping;TAN Linqiu;CHEN Ding;YANG Jiuqi(School of Electronic&Information Engineering,Xi’an Technological University,Xi’an 710021,China;Shaanxi Province Key Laboratory of Photoelectric Measurement and equipment Technology,Xi’an Technological University,Xi’an 710021,China;School of Optoelectronic Engineering,Xi’an Technological University,Xi’an 710021,China)
机构地区:[1]西安工业大学电子信息工程学院,西安710021 [2]西安工业大学陕西省光电测试与仪器技术重点实验室,西安710021 [3]西安工业大学光电工程学院,西安710021
出 处:《兵器装备工程学报》2020年第5期139-143,共5页Journal of Ordnance Equipment Engineering
基 金:国家自然科学基金青年科学基金项目(61905187);国防科工局技术基础科研项目(JSJL2017208B009);陕西省自然科学基础研究计划项目(2019JM-601)。
摘 要:为了解决靶场测试中零飞仪有效带宽无法满足实时跟踪目标图像无线传输的问题,提出了一种基于多级树集合分裂实时图像压缩算法。根据零飞仪图像特点分离目标与背景,背景区域采用常规JPEG压缩,目标区域采用优化JPEG2000压缩;优化JPEG2000算法以结合小波提升变换及优化分块方案,采用多级树集合分裂算法替代JPEG2000中优化截断嵌入式分块编码算法。试验结果表明:该算法的压缩比可达4.39,而压缩时间比传统算法减少了2/5,并具有峰值信噪比高、均方根误差低等优点,有效地提升了零飞仪图像无线传输速率,满足零飞仪实时大吞吐量的图像数据传输要求。In weapon test,the effective bandwidth of zero-flying instrument cannot meet the wireless transmission requirement of real-time tracking objective image due to large throughput.To solve the problem,the paper presented a real-time image compression algorithm based on multi-level tree set splitting.The image of zero-flying instrument was segregated into objective and background according to its image features;The image of the objective area and that of background were processed through conventional JPEG compression and optimized JPEG2000 compression,respectively.The optimized JPEG2000 compression algorithm was a combination of wavelet lifting transform and optimized partitioning scheme.Crucially,an optimized truncated embedded block coding algorithm in previous JPEG2000 compression was replaced by a multi-level tree set splitting algorithm.Results show that the compression ratio of the proposed algorithm is up to 4.39,and its compression time is effectively reduced by 2/5 relative to traditional algorithms.Besides,The algorithm has some advantages such as higher peak signal-to-noise ratio and lower root mean square error.The proposed algorithm can improve the wireless transmission rate of image in the zero-flying instrument,and thus this can meet the transmission requirement of larger throughput image data.
关 键 词:零飞仪 图像压缩 小波提升变换 多级树集合分裂算法
分 类 号:TN919.8[电子电信—通信与信息系统] TJ06[电子电信—信息与通信工程]
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