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基于改进SPECK的雷达图像无损压缩算法 被引量:1

Lossless compression algorithm for radar image based on improved SPECK
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摘要 针对VDR雷达图像的无损压缩技术要求高速、高效、低内存占用量的特点,在分析图像整数小波变换的基础上,研究一种基于整数小波和改进SPECK快速无损压缩算法。该算法利用整数小波对图像进行变换,进而采用SPECK进行编码。SPECK算法采用易于计算和并行处理的块结构,不仅提高了编码速度,还具有动态存储小、容错性好等特点。算法中还引入了哈希表和综合匹配法对SPECK算法进行了改进。通过对VDR雷达图像的无损压缩实验证明,该算法不仅提高了压缩速度,而且提高了压缩比,具有广泛的应用价值。 Since the lossless compression algorithm of VDR(Voyage Data Recorder) radar required high speed,high efficiency and less memory,an algorithm was presented which combined the integer wavelet transform with improved SPECK(Set Partitioned Embedded Block).First,the image was transformed by integer wavelet,and then it was coded by SPECK.By using block structure which is easy for parallel computing,the SPECK would speeds up coding and occupies minimum dynamic memory and be good at fault tolerance.Synthetic match and Hash table were introduced to improve SPECK.The simulation result of VDR radar image compression illustrates that the improved SPECK has higher compression speed and compression ratio,and its application is wide.
出处 《中国惯性技术学报》 EI CSCD 2006年第6期41-44,共4页 Journal of Chinese Inertial Technology
关键词 整数小波变换 SPECK 无损压缩 匹配 integer wavelet transform SPECK(Set Partitioned Embedded Block) image compression matching
作者简介 李天伟(1963-),男,大连海事大学博士研究生,主要研究方向为交通信息工程与控制,导航自动化技术.电子邮箱:minghailee@sina.com.cn
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