基于EZW的地震图像小波压缩算法与实现  

Algorithm and Implementation of Seismic Wavelet-based Compression EZW

作　　者：张方舟[1] 张乃元[1] 慕林洹 赵思远[1] 

机构地区：[1]东北石油大学计算机与信息技术学院,黑龙江大庆163318

出　　处：《新技术新工艺》2015年第4期81-83,共3页New Technology & New Process

摘　　要：介绍了地震图像知识、SEG-Y文件格式以及小波变换基础理论,对EZW算法进行了分析和研究,并基于该算法实现了对地震图像的压缩。采用嵌入式小波编码方法能取得较高的压缩比以及较强的抗误码性,地震数据可视化是指将地震数据映射成可观测到的视觉实体,将地震数据在内存中二维化,并映射成图像,这时就可以对图像再次进行压缩。本文体现了地震图像对于油田勘探研究的重要作用,使人们更为深入地了解了图像压缩算法。The paper introduced the seismic image knowledge and SEG-Y file format,and wavelet transform theory,finally did the EZW algorithm analysis and research,and realized image compression to the earthquake based on the algorithm.By using the embedded wavelet coding method higher compression ratio and strong resistance to error can be obtained,seismic data visualization mapping refers to the seismic data can be observed visual entities,the seismic data in memory is two-dimensional,mapping and the image according to the visualization can compress the image again.Reflects the important role in the study of seismic image for the oil field exploration,and can make people more deep understanding of the image compression algorithm.

关 键 词：小波编码 EZW 地震图像 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]