基于改进EZW算法的声纳图像数据压缩研究  

A Research of Sonar Image Data Compression Based on Improved EZW

作　　者：杨成林 高兴 YANG Chenglin;GAO Xing(Wuhan Jiaotong Vocational College,Wuhan Hubei 430000,China;Fiberhome Communication Technology Co.,Ltd.,Wuhan Hubei 430000,China)

机构地区：[1]武汉交通职业学院,湖北武汉430000 [2]烽火通信科技股份有限公司,湖北武汉430000

出　　处：《信息与电脑》2021年第14期191-194,共4页Information & Computer

摘　　要：本文提出了一种基于整数提升小波变换的声纳图像数据压缩方法。首先,小波变换后图像的主要能量集中在低频子带,将低频部分经过调整后直接存储;其次,将高频部分进行改进的嵌入式零树编码(EmbeddedZero-tree Wavelet,EZW),即在主扫描的过程中输出当前数据的类型码之后,继续输出重要系数的幅值码,取消辅表及辅扫描;最后,将低高频数据合并,从而实现声纳数据的压缩。实验结果表明了该方法的有效性值得借鉴。This article proposes a sonar image data compression method based on lifting scheme Integer Wavelet Transform.At first,because the main energy of sonar image after wavelet transform is concentrated in low frequency sub-images,the low frequency data is to be stored after adjustment.Second,the high frequency data is to be coded with improved EZW:In the Dominant scanning,after the current data's type code is outputted,the important coefficient's amplitude code will be outputted immediately,thus subordinate list and subordinate scanning are canceled.At last,the low frequency and high frequency data will be combined,then the compression is over.Experiments confirmed the effectiveness of this method.

关 键 词：小波变换 声纳数据 压缩 EZW 

分 类 号：TN911.73[电子电信—通信与信息系统]