基于随机方法的EZW二维数据压缩编码方法研究  

The Research on 2-D Data Compression Using Random Method Based on EZW

作　　者：谢玫秀 马家庆 XIE Mei-xiu;MA Jia-qing(College of Electrical Engineering,Guizhou University,Guiyang Guizhou 550025,China)

机构地区：[1]贵州大学电气工程学院

出　　处：《科技视界》2019年第13期54-55,45,共3页Science & Technology Vision

基　　金：贵州省科技厅-贵大联合基金(黔科合LH字[2017]7229号);贵州大学2017年度学术新苗培养及创新探索专项(黔科合平台人才[2017]5788)

摘　　要：为了保证压缩的图像在还原时的质量,应对其压缩算法做出相应处理,使图像还原效果更佳,本文基于嵌入式小波零树编码(Embedded Zerotree Wavelet Coding,EZW),运用随机调节阈值的方法改进了二维数据压缩编码算法。通过计算参数峰值信噪比、比特率、压缩比对所提算法进行比较分析,证明所改进方法对图像压缩达到明显的效果。结果表明本方法的有效性与合理性,且适用于工程应用中。In order to ensure the quality of the compressed image during restoration,we should process the compression algorithm accordingly to make the result of image restoration better.In this paper,based on the Embedded Zero-tree Wavelet Coding(EZW)algorithm,a method of 2-D data compression coding is improved.By comparing the Peak Signal to Noise Ratio,Bit Rate and Compression Ratio of the parameters,the proposed algorithm is compared and analyzed,which proves that the proposed method achieves obvious effects on the compression of the compressed image.The results show that the method is effective and reasonable,and is suitable for engineering applications.

关 键 词：嵌入式零树小波 压缩比 峰值信噪比 阈值 

分 类 号：TP391.3[自动化与计算机技术—计算机应用技术]