基于EZW的地震图像小波压缩算法与实现
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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.
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.
引文
[1]陈武凡.小波分析及其在图像处理中的应用[M].北京:科学出版社,2002.
[2]郑治真.小波变换及其MATLAB工具的应用[M].北京:地震出版社,2001.
[3]沈兰荪,魏海,黄祥林.基于子带/小波分解的视频编码可分级性研究[J].电子学报,2000,28(7):123-126.
[4]张旭东,卢国栋,冯健.图象编码基础和压缩技术-原理、算法和标准[M].北京:清华大学出版社,2004.
[5]刘方敏,吴永辉,于建新.JPEG2000图像压缩过程及原理概述[J].计算机辅助设计与图形学学报,2002,14(10):905-91.
[6]袁修贵.多分辨分析理论与深度成像和地震数据处理[D].长沙:中南大学,2005.
[7]郑丹.谐振面积与电极图案对质量传感器性能的影响[J].新技术新工艺,2014(2):83-85.
[2]郑治真.小波变换及其MATLAB工具的应用[M].北京:地震出版社,2001.
[3]沈兰荪,魏海,黄祥林.基于子带/小波分解的视频编码可分级性研究[J].电子学报,2000,28(7):123-126.
[4]张旭东,卢国栋,冯健.图象编码基础和压缩技术-原理、算法和标准[M].北京:清华大学出版社,2004.
[5]刘方敏,吴永辉,于建新.JPEG2000图像压缩过程及原理概述[J].计算机辅助设计与图形学学报,2002,14(10):905-91.
[6]袁修贵.多分辨分析理论与深度成像和地震数据处理[D].长沙:中南大学,2005.
[7]郑丹.谐振面积与电极图案对质量传感器性能的影响[J].新技术新工艺,2014(2):83-85.
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